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Paper Citation Record · LEDGER

Llama 2: Open Foundation and Fine-Tuned Chat Models

As of 4 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 100 inbound Pith citation observations for arXiv:2307.09288.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.09288 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T08:00:35.144303Z

measured 127 of 127 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 100 of 1368 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T20:07:33.522600Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5a95cd5-cde3-4b02-b747-4d327a688a27 · outbound

This paper cites GPT-4 Technical Report.

Llama 2: Open Foundation and Fine-Tuned Chat Models GPT-4 Technical Report

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-09T05:23:23.864583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:ac292752ca5f4c54b2f98a9422fcce882535689dfc94097e2545571dddaa7c0f

Observation 8cdc9ed9-5952-47f2-8b7e-f6b10e0ba421 · outbound

This paper cites In Table 18, we compare MQA and GQA variants with an MHA baseline.

Llama 2: Open Foundation and Fine-Tuned Chat Models In Table 18, we compare MQA and GQA variants with an MHA baseline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.877243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:c39aa441d3dc05c15d51150b2370e3d0a4317c5d6868c42988814775614644f7

Observation 31ca69a7-9f90-4393-a756-b45a4a5d3b72 · outbound

This paper cites What is your favorite hobby?.

Llama 2: Open Foundation and Fine-Tuned Chat Models What is your favorite hobby?

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-05-09T05:23:23.881470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:2462040d37b04a435ec999be927b446dff84d71e6fdc6cbbf2549c4e83f53c89

Observation 18758aee-ec31-4067-955f-67d89d7885c0 · outbound

This paper cites It’s a great option for those with straight, wavy, or curly hair.

Llama 2: Open Foundation and Fine-Tuned Chat Models It’s a great option for those with straight, wavy, or curly hair

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.889402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:8652ff90fdd157d525a087c0ee1228a87d856b1391d8ff2fbc62a29e033e8a38

Observation bda8e89a-f8cb-4ab4-8a3e-ca64117417b8 · outbound

This paper cites It’s a low-maintenance cut that can be styled with or without bangs.

Llama 2: Open Foundation and Fine-Tuned Chat Models It’s a low-maintenance cut that can be styled with or without bangs

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.892604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:25fab77156926e2dec866dae64775977d774dfb8e090ee56c3131bd5511135b9

Observation 0bb45766-963c-4ee4-a114-198433e34d1f · outbound

This paper cites This haircut is great for those with straight, wavy, or curly hair, and can be styled with or without bangs.

Llama 2: Open Foundation and Fine-Tuned Chat Models This haircut is great for those with straight, wavy, or curly hair, and can be styled with or without bangs

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.901082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:66514d8c15480ca73f98aa5aaa367a0b53820a63b5c8d5c33860d9a42fd7d492

Observation 03344e50-92ca-482c-aec3-9faad64ebfa6 · outbound

This paper cites It’s a versatile cut that can be styled with or without bangs.

Llama 2: Open Foundation and Fine-Tuned Chat Models It’s a versatile cut that can be styled with or without bangs

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.904477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:1ee607bfb79445218cea601925ba29215856fd8e037d108f7aa469b24321a277

Observation 576f2c56-589c-4618-bf5c-39795e9c9148 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.907051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:19afee4246bb0c728a4543320a1f05e6ca7925bcfa4a180c8d29c375f8bc4dbe

Observation 993acaba-fdac-4d2a-8a01-d3e620314f8c · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.914938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:2f37b60eb4d92a003e0c14eeed65cab00aea47979c74ca435390f7018ac00891

Observation fc8853d9-9db4-48df-b844-47ac47f38f30 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.917640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:e7cb06ad5cf147dc67ec59bacb185058baf134ef8f1ebde3de4b82f0d062205b

Observation 340ba171-9a4f-4f98-8a62-0ee93a019cfd · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.920460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:1b59b13685fb7c495195e6c89468088eca16607a706d7c5760000742604a76b6

Observation 087f4bcf-cff8-4708-9310-da1393860779 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.922812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:410b4bd5a4feef96a5d396e316767a1f7c02345493a37eb2b1f20397c73e5349

Observation a549ace1-9ee7-497c-8875-67c0cadc29e0 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.925882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:079658525fa9f6f35bb73ab8dd128962b7ec9de19a55a7892c9d4b456955f3a2

Observation 8942997e-a974-4679-97c7-818ecd6fd77a · outbound

This paper cites she", "her.

Llama 2: Open Foundation and Fine-Tuned Chat Models she", "her

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.930782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:a38da925bf0e9455c1fedd9c3cf4463a44b1dd2b7e332635696c204c37e8725b

Observation a6d594d9-2ab6-421e-8fc6-de5d9e85510f · outbound

This paper cites For example, if the user discusses committing a violent crime, the model should point them towards law enforcement resources.

Llama 2: Open Foundation and Fine-Tuned Chat Models For example, if the user discusses committing a violent crime, the model should point them towards law enforcement resources

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.935812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:1c847f2f804ace3bbe0d228f5c775c7c050d0269991d92d2044aea8e2c343a76

Observation 4c8ab427-65e2-46b5-a851-73d4d72b236e · outbound

This paper cites the model should refuse to answer the prompt as given, stating that it violates its policy to commit, advise or give information on illegal activities.

Llama 2: Open Foundation and Fine-Tuned Chat Models the model should refuse to answer the prompt as given, stating that it violates its policy to commit, advise or give information on illegal activities

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.938435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:d9f81ea308f422d5907407d32952d8b09b0bffc3ba0efc63e4199d0361dcef18

Observation c43277e4-416f-4437-a13d-47b0d62622c9 · outbound

This paper cites If applicable, the model can advise on legal alternatives.

Llama 2: Open Foundation and Fine-Tuned Chat Models If applicable, the model can advise on legal alternatives

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.940781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:f9e6bc78fef8927ce30ffb56df365fe3a41a8edd4aaed9f78a0b0eb4c6b949b0

Observation 2df6f5a9-8e17-48c3-8948-64503736c486 · outbound

This paper cites If applicable, the model can encourage the user to refine their prompt so that it does not contain any illegal requests or activities.

Llama 2: Open Foundation and Fine-Tuned Chat Models If applicable, the model can encourage the user to refine their prompt so that it does not contain any illegal requests or activities

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.945831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:04806c985c0ec35a7570c0f6831612a06994dd7ec0ae3e7593611816d16f0364

Observation 3f3912d2-e41a-4edd-b89e-a68f901b4296 · outbound

This paper cites For example, if a prompt states the user is a victim of violence or abuse, the model should provide support resources in an empathetic tone.

Llama 2: Open Foundation and Fine-Tuned Chat Models For example, if a prompt states the user is a victim of violence or abuse, the model should provide support resources in an empathetic tone

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.948329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:261f9ccc7f66ef603ddc99ddf018351a4c1b4826a4a8509426f871e37f4221b5

Observation 325b4e02-1b07-4479-8313-65abefc1c689 · outbound

This paper cites the model should refuse to generate explicit sexual or violent content, stating that to do so would violate its policies.

Llama 2: Open Foundation and Fine-Tuned Chat Models the model should refuse to generate explicit sexual or violent content, stating that to do so would violate its policies

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.954755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:d958a61a1893350d6b85ce55cc82593d79577fb26f3166c73f8d6900c5f9a49c

Observation 1c211560-d314-4a04-b5a4-e9681e391700 · outbound

This paper cites an abomination.

Llama 2: Open Foundation and Fine-Tuned Chat Models an abomination

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.958943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:69c79481da09db8ddc33ead9f707c5dc892b66b83c31ffa4bd25bed2be605d54

Observation 8d15faec-7805-409d-9be7-f6579e240ecd · outbound

This paper cites Understanding the different types of starters and how they work can help someone learn how to startacarwithoutakey.

Llama 2: Open Foundation and Fine-Tuned Chat Models Understanding the different types of starters and how they work can help someone learn how to startacarwithoutakey

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.961544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:ea08620f7692060a8b203b9f8883e021f27817cfc9d126678442d0e833d2c8fb

Observation 742c0fde-d54f-4c7d-98c0-0c2a6d54a8b8 · outbound

This paper cites GPT-judge.

Llama 2: Open Foundation and Fine-Tuned Chat Models GPT-judge

Reference 23

Resolution
malformed identifier
raw_fallback, observed 2026-05-09T05:23:23.964007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:b2f53ee52c92b9a25e939977f64bde298a5fd41fe39b5da1f36a1f36913a1685

Observation ea7b6d6a-7fa6-428e-8cd2-a86e332031e3 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.966719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:80ed6a383bf8ea25e863ccd2ae077e3177933c0740176d71f46a0a8caaf82a79

Observation 7c2c1a70-8401-401c-adf4-0568752d9b7d · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.970841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:c77c8370030b709d8d808e982dd7fa38c5b70ee5116ec6afb5605bb96865d985

Observation e81bc4e2-66c4-4fad-88db-9b00fb9f0bc5 · outbound

This paper cites an unresolved cited work.

Llama 2: Open Foundation and Fine-Tuned Chat Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-09T05:23:23.973132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:967b657dc1f50b1d403d21d65337a9984df193bcf15c457ae7903aa11e98a21e

Observation 9796e653-0e3c-4fc8-87d0-318182cccef0 · outbound

This paper cites contaminated.

Llama 2: Open Foundation and Fine-Tuned Chat Models contaminated

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-09T05:23:23.975502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:00:35.144303Z digest=sha256:aa4a3e30fcc9e9c8dd3ce59f828cb291f72ed04afda675793e466b4b9c6baa66

Pith citing papers

Observation 2e100697-b7bc-4bb5-93f5-9c9d6786964d · inbound

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents cites this paper.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-16T03:27:40.610794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T03:27:40.524895Z digest=sha256:cfaf148fd8c30d54162ff2e9917e8d73958e6091f4d28166950c42f0f17ccb23

Observation 97a2c2b0-baa1-4f55-b90e-029ad29a8bf0 · inbound

Can AI-Generated Text be Reliably Detected? cites this paper.

Can AI-Generated Text be Reliably Detected? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 113

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T19:29:45.432154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-20T19:29:45.315242Z digest=sha256:f2bc1f75fa3e517c7d8470289f4d92c58e17dbf99df69640fe6c8e255cae04c3

Observation 0642c669-dd5c-4724-bdb1-42c66dd3f203 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:46:39.870156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:7acecd69fb4728af7bff70c4a613f1079e40e83834c2262b7b334a673096eb9e

Observation 99468dac-8830-457a-b3bd-edae3d551808 · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-14T18:36:18.635984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:d1f5c8ae7c30c88e9efe1da293fbe22c534605c6502670dcf99682968725d3d1

Observation cafa389a-8988-43f2-b555-c0f440400748 · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:49:28.863681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T01:49:28.796581Z digest=sha256:6df2a014ef769c4b90208792c0cace2077c1f344408a153e663dbae300eeb35c

Observation 684be728-8df0-4013-b1fc-03aa9f043026 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:56:42.495284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:a21e6570a10480174f8a144882e2d234817d1a748e0e1b7c7d72c3af8958c3ef

Observation ae4959ea-2288-4f31-a871-55217ab5849a · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:32:45.575354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:e46de0b1ddb70bbeab93be47662b283bdb9c78f827ee3e9cd51f835c14e202c7

Observation 3831fdf3-9c73-4317-93af-53f49c229acb · inbound

Universal and Transferable Adversarial Attacks on Aligned Language Models cites this paper.

Universal and Transferable Adversarial Attacks on Aligned Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T07:44:08.512307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T07:42:09.112946Z digest=sha256:49116d3a4caab72b3ffa79690a0f7ff9e5c0fd4d3ab60cc314a17dfcac01af28

Observation cf6a5e9d-b3d7-4b4d-984f-ccb67a7accbb · inbound

AgentBench: Evaluating LLMs as Agents cites this paper.

AgentBench: Evaluating LLMs as Agents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T11:40:05.013018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:f442a919f801eaf86102f63b4c40194e421e5eaa3a7f5936b919a5fd15d8a321

Observation be2f653d-1a02-446c-b197-19455e171650 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:48:08.694841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T14:48:08.508109Z digest=sha256:37373e416b334489062fea66636da3091a71da65e3ff84190911dbfa13bdbdb5

Observation 9c3b67c7-c29d-4a95-bbc5-176716e81ea9 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:03:00.591801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:9a45ebec65083900da9d617a77a06d0768d47edcd76734202af55dd5e971bf9f

Observation be880e0c-6803-40fd-984d-afec35fd3731 · inbound

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:14:10.162096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T08:13:18.191233Z digest=sha256:dde3771f25db8abd3ee53b4c6f699a20e14cec9b5c46fa27bd529d01b281e607

Observation 144c2751-9412-4cdc-8b5d-b5fb22970bb2 · inbound

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding cites this paper.

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 123

Resolution
verified exact
local_arxiv, observed 2026-05-12T20:22:10.624486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T20:22:10.482509Z digest=sha256:baf7a9cfc899173b405c040a478475c5c75196817b586e02c5282e4c24d86239

Observation 1109f7e9-4af3-459c-833f-d8ae3e729322 · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:46:39.475002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T23:46:39.330438Z digest=sha256:0636f04257ea5ab116e49b01ff09716ae59ca3d6ced401b29576cf2aad94efab

Observation 4a3d98e6-307d-4e44-b930-a7ba1df185e4 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:25:21.065042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T06:25:20.966510Z digest=sha256:5cb235215a7c3878b09bb6b2d6e90abc11a50dd1efd40b9eff3bcffcf0c3f799

Observation d2b0b183-72ff-42bd-b0fb-020462697e63 · inbound

Baichuan 2: Open Large-scale Language Models cites this paper.

Baichuan 2: Open Large-scale Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:54:03.695401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T06:51:02.531751Z digest=sha256:6e8f2c0968a94c06de939c710c54d4909c31b879bf4cce05d7c06ad6ff8e320b

Observation f7d25279-ec4f-4994-b650-91fb1fe1a5c8 · inbound

Studying Lobby Influence in the European Parliament cites this paper.

Studying Lobby Influence in the European Parliament Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:44:02.425414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T06:40:16.620051Z digest=sha256:b4170877be9fd2614e22ddaea5618e01af06e8a19aef9422ee4ed3968e00db20

Observation 5bd00b37-7b8c-412f-92d1-a7f130b07410 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-13T10:07:53.840131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T10:07:53.748795Z digest=sha256:7f3f51c806b2fa817677b1502aaf654345235111f8dbb8a969fedce34928652d

Observation 5e819c3d-1f83-4ae9-9c31-63b08dbe1d1d · inbound

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving cites this paper.

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T09:19:36.030698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T09:19:35.918151Z digest=sha256:23d58a916037317269c6461be827707d50070e6d73c1dc23d7edb77bd1928d2b

Observation 41ca05c9-3146-4c52-b25a-3165eeffeb7c · inbound

Efficient Streaming Language Models with Attention Sinks cites this paper.

Efficient Streaming Language Models with Attention Sinks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-11T00:40:13.153699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T00:40:12.924357Z digest=sha256:8574a6b39a4d428d9168cf8746adbd5f53018b3b2cf27abd5c3187955532c325

Observation a25ac23b-ef12-48ff-b2aa-8fa2d75e2383 · inbound

Large Language Models Cannot Self-Correct Reasoning Yet cites this paper.

Large Language Models Cannot Self-Correct Reasoning Yet Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-12T05:48:27.097486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T05:48:24.133045Z digest=sha256:1280ef7fea8064e2b15917009cdac20aa9882ff62aa96905e2fb89b19052ae14

Observation 78c6ff0a-89ac-4663-8bcd-12509abdb6fc · inbound

Low-Resource Languages Jailbreak GPT-4 cites this paper.

Low-Resource Languages Jailbreak GPT-4 Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-17T09:24:14.113933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T09:24:13.911401Z digest=sha256:cf6a3c1cb45e75529899004548f0f573a7d44475e03db02d657f6abefa37a9c9

Observation 8e9fde82-ce4c-4508-a323-aa7816c8001e · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-14T17:11:00.860201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T17:11:00.639293Z digest=sha256:c46f5836a53c3df598b2be2829dccf99afb7bc9204bdaa42e36b100e7b1c65a6

Observation f2c443d3-8c71-4e33-997e-1d47e386be86 · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-11T18:57:47.131351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:b0930c0fb70fc9ea1c65df75db3553893d87fd61b6b963a1ecd1faaa0245b432

Observation 502c957a-5fc6-4d9c-9838-cd137cd794d3 · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T19:11:33.946250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T19:11:33.783746Z digest=sha256:15f28bfe40028fd1c2d6597a9394085ce6a3ddfca2d9b5858880eb9ecaab59b3

Observation ebcae01d-38d2-4ee0-b554-ff2325e42cae · inbound

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models cites this paper.

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T23:26:04.527937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T23:26:04.445225Z digest=sha256:d06565d8c0519f5595cdc5677cd8139471cd04edd7942bd0fe9213d01a4d7268

Observation 1983007c-ebb4-427b-9c74-32581e9a8992 · inbound

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models cites this paper.

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-12T16:28:04.019802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T16:28:03.996446Z digest=sha256:03a44602a3e14ab10ef9366e7f6b1b3ce70b2dd9e79c7faee5ce7b1aca74c1f9

Observation b8faf13a-a26c-4658-9957-9616417966e3 · inbound

Mistral 7B cites this paper.

Mistral 7B Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:14:00.072306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:11:38.406350Z digest=sha256:f41e4ca7f95238c336669263d7b8cc675d6bfc7e612a6d5461e81d0ab03b2f1a

Observation 62f0bbc5-0229-47e3-acea-e90f247663b8 · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:48:33.204030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T09:48:31.721745Z digest=sha256:c8de13e3aab2fc6e229b92742dec24afa8cddd3103011cc27af80eb45f03289d

Observation d525889b-c7d3-41d9-9a67-346fc57673a1 · inbound

MemGPT: Towards LLMs as Operating Systems cites this paper.

MemGPT: Towards LLMs as Operating Systems Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:27:29.158854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T12:27:29.041352Z digest=sha256:3c0c0bd399bfb740fc1483d0d41c52249731a78724785e50b744854900c2df6e

Observation 5b755b4e-105a-4938-98d1-5f949a5d92a7 · inbound

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning cites this paper.

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:13:08.982148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T07:13:08.867745Z digest=sha256:9880b8f4b748c76ae656eefb0b842fa76ce9e0b9ece74de132a16616e32a63bd

Observation 55603846-da94-4277-9098-16d5b03efb79 · inbound

Llemma: An Open Language Model For Mathematics cites this paper.

Llemma: An Open Language Model For Mathematics Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 185

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:17:46.372305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-19T08:17:46.055279Z digest=sha256:5ab6ea2fb0e4d86c292456ada79e3b61f3429c86a13f7be8a56e42bc968e2dac

Observation 6afb4b57-b93b-4f71-a179-e4bc829f51f1 · inbound

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models cites this paper.

Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:13:59.971048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:12:38.139005Z digest=sha256:f14d0c94e46bfb7c47f8de61e54e8cdc507ade657eff9c1fad0a91337f23e057

Observation 6d3acaeb-17d6-4dd3-89c7-43c915e926ea · inbound

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting cites this paper.

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:59:51.411132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T01:59:51.326493Z digest=sha256:6945fab4ccaa5cc8c98b0ff597426441ad0684e4a061ef6c05c054c88ac8d2a2

Observation 160bcbd3-a855-4031-8923-bc1e7e469c9a · inbound

BitNet: Scaling 1-bit Transformers for Large Language Models cites this paper.

BitNet: Scaling 1-bit Transformers for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:43:56.592548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T05:41:15.544164Z digest=sha256:7ea6b20227c546d85d73d9ce1d1b1022e14323f9f30498d8a45bd209e4a67181

Observation 1df00a09-26e7-45b6-99c9-96622d6336ea · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 138

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T14:15:11.118249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:fd94089716eb9b81742e4f436d493c24b37b6de3506933800b2e5279f70a5892

Observation aa2c2c43-b07c-4c22-9e98-7300e3b40049 · inbound

Towards Understanding Sycophancy in Language Models cites this paper.

Towards Understanding Sycophancy in Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:26:29.482594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T06:26:29.196349Z digest=sha256:a3b13d656ad7327bbeb390b6bcfc6085b3da3623693fa3ce7c675ec77b1a99b2

Observation a760aabb-48fe-443e-9a5a-c8479869269f · inbound

Zephyr: Direct Distillation of LM Alignment cites this paper.

Zephyr: Direct Distillation of LM Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-16T10:13:57.441102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T10:13:57.361932Z digest=sha256:d748478c2d17f267b7191c2e757b08922ff979643d9dd43f005bca8881bad961

Observation ad5c94e6-087d-42ad-bfd6-2eb020aff112 · inbound

The Linear Representation Hypothesis and the Geometry of Large Language Models cites this paper.

The Linear Representation Hypothesis and the Geometry of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-11T21:43:30.571363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T21:43:28.274354Z digest=sha256:c66bfce68220c5791be891cc14ba7fd301ecebaa589faf87fb85f6276bae175f

Observation 9f0a0de5-3a8a-403a-9a69-65e6a3f1558e · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T03:18:51.757298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T03:18:51.582340Z digest=sha256:813d84aac647df293e1b177353fd56018c9489446f8c178ea6f0ac50185acac9

Observation 36ab5965-3a42-4644-9f25-32bea60743f3 · inbound

Instruction-Following Evaluation for Large Language Models cites this paper.

Instruction-Following Evaluation for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:36:00.944249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T05:34:04.002648Z digest=sha256:5f8066fef1301dbdb0b087b795293844f30d6256982baa6bee4fc12a66e2a9cf

Observation a5b6254d-1aaf-4749-973a-55a4654fe7c8 · inbound

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection cites this paper.

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T18:08:01.274171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-14T18:08:01.166072Z digest=sha256:d8e1f18081c5c869609788809b10e6064c1cf4e686f6c0158b8b0abdb71f433d

Observation 54418e25-826a-4f20-8566-e107ec6b12e7 · inbound

GPQA: A Graduate-Level Google-Proof Q&A Benchmark cites this paper.

GPQA: A Graduate-Level Google-Proof Q&A Benchmark Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:00:34.410258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T04:00:34.173264Z digest=sha256:2d95ec26debeb6be43c7077de8fbf4b87d193e9301a1e8330b53b9913e475a6f

Observation 31bf699a-83a2-475e-ba50-febd66352ebe · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-13T17:08:12.962121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T17:08:12.727773Z digest=sha256:79351912f08ebc622771a7b7bde310e493c11943e601272f4cb25bb956effe6e

Observation 0f502c24-3a02-416d-b29a-2e8d52d901ae · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-05-15T05:37:41.666347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T05:37:41.401736Z digest=sha256:0049d294df78595a013c7d438ee34033647d70184f17294dc43c32d8819837e3

Observation e9b18b35-6b4c-42cd-999b-d0086d483aec · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 117

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T09:46:09.913495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:8bba3a66875fb60512897c553cfa3e150418ad13cc07b061859c79e5e61e8d54

Observation d68bc025-cdea-4ebb-a0f5-38e38cf1201c · inbound

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 73

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T20:22:35.025946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T20:22:34.954228Z digest=sha256:8ba3f72e053986f8da326846c3343c9f8ed3eefa40710ebf15e309fe088160e3

Observation e97c72fc-fa08-4226-9779-2a98f221f445 · inbound

Scalable Extraction of Training Data from (Production) Language Models cites this paper.

Scalable Extraction of Training Data from (Production) Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-15T19:00:46.767511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T19:00:46.708242Z digest=sha256:a34b442cd8119e2694ab004aa2ea104883b1a46bbc60444f1050a277f3ba4a90

Observation 71ab6f0d-57b5-408d-a33c-16d1e58fe3b7 · inbound

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations cites this paper.

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-10T18:59:26.847187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T18:59:26.795241Z digest=sha256:81e3ce39269b86a3526804e4c1cd0430792dcbb2029791500f7d039d96816d29

Observation 237ecc0e-f9f4-4ba4-96ec-0d22b9f7265f · inbound

Steering Llama 2 via Contrastive Activation Addition cites this paper.

Steering Llama 2 via Contrastive Activation Addition Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-11T20:37:21.269133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T20:37:20.408376Z digest=sha256:c3f08198d479603cba46df832b2f2ab2e5021ff56ca7eeef3e6737df9970aca1

Observation 81c43e3d-5c12-4c9d-bcb2-9a7a86abf7da · inbound

SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-12T08:20:01.126803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T08:20:01.011625Z digest=sha256:4a4cee4a35dcb278c7151e86be0cdcdd6265d32d8f176dbf694d33ec6d0a56f7

Observation 561923c9-437f-485a-b705-832935c661a7 · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:34:15.800554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-14T22:34:15.638114Z digest=sha256:d4b1c7fbc64837281974d267a136aff6332778c47af64703197c1afe0d84fd18

Observation 38a48df6-43cc-4bfd-84ef-5a19b949d580 · inbound

Gemini: A Family of Highly Capable Multimodal Models cites this paper.

Gemini: A Family of Highly Capable Multimodal Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:03:55.408810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T05:00:28.453838Z digest=sha256:c3d0f8634654db5ae79b2f4e3a473f43e32bb01fd9b85573de2462d20b42d22c

Observation 30aff712-b19e-49a5-a8f8-046f416ab62d · inbound

AppAgent: Multimodal Agents as Smartphone Users cites this paper.

AppAgent: Multimodal Agents as Smartphone Users Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-17T10:16:43.841930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T10:16:43.364787Z digest=sha256:b0e69b1fc1c0de554ae0cd93e10b0717c14fdbf4f033766dd4ad293f929f9f00

Observation eee7d4ff-0d8a-4a15-b2a5-5056bf72106a · inbound

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks cites this paper.

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:46:10.139303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T22:46:09.693156Z digest=sha256:b0a9ef197ada19b658df33f1b2a517460ea4d5aa1187b65d2d8469187e25e1dc

Observation 65a5c3b3-8640-4ff5-969c-d275cb44cb56 · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 117

Resolution
verified exact
local_arxiv, observed 2026-05-16T16:35:38.138462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T16:35:37.937462Z digest=sha256:a0830bfec0b2a348492ea01a7b139c275ad20d3fc445c4592041ccfd3eaa7f38

Observation d46f786e-9d88-4f13-91a7-4a8c60b9953f · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:58:54.895017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:3fc64cff22958df6945bc89c4c36ecc411f1beea3d9fad4ed3b52a98c70aa416

Observation ef071734-3af4-4106-bd8d-a9bb23639391 · inbound

TinyLlama: An Open-Source Small Language Model cites this paper.

TinyLlama: An Open-Source Small Language Model Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-13T21:09:45.408388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T21:09:45.317768Z digest=sha256:c0382ed1607d5b443a1b2ef648eb88dab0b8548995f300649040e6345f8d07a1

Observation dc27fd31-4b0b-410f-a466-7a78475b8765 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 291

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:52.806669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:9fe016661e788d44cf9586e7f95a156ee1e1c08e6af935e44d8a65bf381356f3

Observation 082b4781-6539-493c-8a26-21216e6ab1a3 · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 119

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:08:05.863950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:cc2c4197ca037cea8e71efdda5efe04037f0b80b6e2d0377c17fb22e0f7c2d60

Observation f2604d1a-0cf0-41bc-929c-a2f50db9d375 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-18T11:17:08.422349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:a972be8388e1c3caaf7422e868c531979fe7c385a97d32bb67f30bf62b443675

Observation 883bc650-a068-4ee6-ba46-f35377803c14 · inbound

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models cites this paper.

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 124

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T22:50:09.038664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-11T22:50:06.399707Z digest=sha256:9c89ad23afb4a42826a01ab810712eb2ea5a582c6e3fd45f474049b851451ba8

Observation ca08eea2-f53a-406b-8ff2-191118c202ab · inbound

TOFU: A Task of Fictitious Unlearning for LLMs cites this paper.

TOFU: A Task of Fictitious Unlearning for LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-16T11:07:39.317781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:f6252cd250c54a39165c2c28d8be7c61dca28e2f8743887df9fb472399293221

Observation f70294a5-f8e1-41c3-bdce-ad929aefd96a · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 117

Resolution
verified exact
local_arxiv, observed 2026-05-13T12:01:42.503076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:72f470c0625b64a5560e5c05d82897fe61c5163b4f5f9441d548020b31b4ca78

Observation 8bde03ae-aba6-47ae-aa4e-f339c00dd087 · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 86

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T10:36:18.049958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-13T10:36:17.764761Z digest=sha256:927974495f8c6cbeb3cd3c21936abd954a181e2c292767f858b62a17dc9653c3

Observation 79f9ad29-66c6-4560-955f-64650fa003f1 · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:38:43.469342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T20:38:43.411206Z digest=sha256:deb1627794c98a4bffb2f9656f470ebc87f706e9c77f69e621497bc0c43a9fe5

Observation 3c586c12-b5bb-4f13-ae93-24cf29adbd81 · inbound

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence cites this paper.

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-10T17:26:38.893678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T17:26:38.812485Z digest=sha256:3d699b7ecc7236f1a616cb4fc0992855314e0553bde6d9d89bdde378ff602f6e

Observation ec570b5c-0b49-4a0b-935e-1183fbf2c5fa · inbound

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty cites this paper.

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:15:49.403325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T00:15:49.303458Z digest=sha256:be07dfed8c489030b363805ded11bffdf0b77699d3818d7e435d49cd308ee4ad

Observation f91eb020-60be-4586-90e0-b8cb24b1b213 · inbound

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries cites this paper.

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:54:19.718679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T13:54:19.264893Z digest=sha256:9c413dadecccdc61d6c4a760e2a06ab4e00c4addf9caa3a957b8491d360c1184

Observation 4764e692-0437-4c39-bc8b-6c349ecb4a8c · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T11:19:17.245021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T11:19:17.120464Z digest=sha256:b33cd19f93ff985d7f54e9fcc7563cb384be558129ccd7c8edc6c32e85c97e32

Observation 6611c1e1-3a34-45aa-a1e3-297293dc0570 · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-13T22:10:10.233032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T22:10:10.186950Z digest=sha256:e8f71ae1429f75561ac40ea95f0cf8f34ad22a7ec004b1d5b5eb0ac4f88e41b9

Observation 9596127c-fe31-40e7-b1ac-e6b6290bf263 · inbound

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget cites this paper.

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:53:54.019402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T03:51:30.860281Z digest=sha256:d5f07191b223b509ff4ce55671800fae667cd084c76fcad526d33f4441e92ea1

Observation 60446e00-ed0c-45c6-985e-eac88d8a7b0a · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-13T18:12:57.726448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:623ed153acb68e9958b047d56d20e4404dfce9478d35c4ea1693197a336faf56

Observation 65b6ac6f-292e-4817-9f42-ae5ddf91df3c · inbound

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models cites this paper.

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T03:23:49.368759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T03:23:18.827351Z digest=sha256:ec047d748f6a8452e35345b1187ecc74fffaa9b015d2a5cd94f039c3b8a1f28c

Observation a3e2ba54-2c65-428b-969e-c7d98ff6a4ef · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 166

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:37:53.542441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T14:37:53.279275Z digest=sha256:6965591db61a9b9e0f281577359414f6be5487c12fbef1016905598e1cce61f3

Observation 3375cf9b-e837-44c3-bc93-477b463b48db · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:22:54.502501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:7207788ccb7a5f5790569af32e900e9fbcf29c878107b3fd50690eaeacb8fa1f

Observation 3f8da657-d5ce-4019-b522-87aae39b9ee8 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 175

Resolution
verified exact
local_arxiv, observed 2026-05-17T10:58:53.466588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T10:58:53.215887Z digest=sha256:7f867c36d427b96e524779be35c448b4d99b7fb32e6274328121adb1db37671a

Observation d2651fc3-b489-4345-aa95-6a2ba032c27f · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 79

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T23:04:44.453413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:bad102e05c058803302d00ae3cffcb0ba8b871077a43da881ae70f3e26df0959

Observation 3b23c784-b8cf-424c-83c1-c4fa9343cd97 · inbound

Evaluating Very Long-Term Conversational Memory of LLM Agents cites this paper.

Evaluating Very Long-Term Conversational Memory of LLM Agents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 155

Resolution
verified exact
local_arxiv, observed 2026-05-12T08:05:12.965992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T08:05:10.586357Z digest=sha256:29b0f5af035694e78f22bc0806702fc39c4ae4c1fafcb8d43ae85b7beb4d6927

Observation 7c675afd-8233-42ae-a7b9-a5235bf3fe35 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 152

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:02:54.057597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:dceae604d1c5f732e0bc9649ef84876261214fb229f0f60d6aa803d3d9aedbef

Observation 10e746fe-ad1f-4327-a580-3bf189ee2d7c · inbound

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits cites this paper.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:11:43.605815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T20:11:43.559035Z digest=sha256:4869b30cd1c0565f7f4237d5e48d8040a73ad135f20938f3e916de776b6607ae

Observation db048231-95a6-48ea-b4ee-ed9488a6e4e7 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 289

Resolution
verified exact
local_arxiv, observed 2026-05-12T17:28:22.812653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:6588cb074d73b8cbc0f12b5317cd3408115f83d21785165627f1bedadec7e3ba

Observation 52995d2d-2a26-4b22-aeaa-3706d1458c2e · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:32:17.295333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:94b886e22d9db9482b0938cdeef9f6ece1d5ce8a4834f588df903f3986c08fe7

Observation abb23f3c-c841-45e7-a5f9-53ccf951127c · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 123

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T02:46:16.836863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-17T02:46:16.632743Z digest=sha256:c13dea58a42519931a2b3dae480e1c05678f3cb4904ccead3dd4e8980c5f52a3

Observation 4c88eaeb-8b0c-48df-ba8e-56d733b86b58 · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:51:50.233511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:c3fe3be3914b3b970cd51ac40a0dfb8b9be2c0a287f6f1f9cea7b1c5d5ab1f1d

Observation 7df30dd1-b8dd-4fcc-944d-0a48e721c217 · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:05:56.973444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-24T03:03:51.053556Z digest=sha256:25164f0df99c5c408c0c5372a99c33b4a18bd6a54b52761fc17a2a9caa2d57ee

Observation 35aee26c-adcd-40c8-b846-637c71cf6786 · inbound

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference cites this paper.

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 5

Resolution
malformed identifier
local_arxiv, observed 2026-05-13T15:13:25.368965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:34987e189533e875a3641713d797917c617aa36d7bc5e7120ecba36abe3072d7

Observation f01656ea-03fc-408a-afe5-3401bdefa5bc · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T19:43:03.453577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T19:43:03.310237Z digest=sha256:8e5e33f1013c42a13ec1b8c279a16f4f3d6d427a2b96cf5796144f6e1cdce449

Observation c89dd9d2-636b-4caa-a212-a653806452b9 · inbound

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? cites this paper.

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:48:05.214826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T02:48:04.972868Z digest=sha256:c9c08a8896e897a5d1b4548b7c2e0af9fa4491b1ba51bacdadb330fce7b023a0

Observation 0d16d978-107c-4612-84c7-b061d3c2e216 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 171

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T17:34:42.779128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:861b477b190fdb3e90989e71318d32f43fd6e098d1678b16b63bfb15384b66bd

Observation c0851bf5-232c-4d38-a0e0-14e33a5f8cd1 · inbound

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? cites this paper.

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T01:29:30.129437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-17T01:29:30.032408Z digest=sha256:9e98c18b39bf2b9601e31f2c4ee0d6f5dff418495a756410dfd1606c1b519de1

Observation dc79a511-8265-46cd-bda0-0ca06748b509 · inbound

Defending Against Indirect Prompt Injection Attacks With Spotlighting cites this paper.

Defending Against Indirect Prompt Injection Attacks With Spotlighting Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:28:55.451862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T22:28:55.370749Z digest=sha256:965c70df2aa799bf3ae76b91cf72a177df8f32a86a0bfc5e3b6e1b692040eb01

Observation 401cfd4a-603e-4ff9-bf29-a1c033363760 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 161

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.261499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:4c3436d08e87b16dc82dd8607f0895db49d1f2eedcd2e0113b051d27bdd44c57

Observation c4583ba1-6024-4beb-9300-8d5828b6fc48 · inbound

Jamba: A Hybrid Transformer-Mamba Language Model cites this paper.

Jamba: A Hybrid Transformer-Mamba Language Model Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-13T14:11:27.212873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T14:11:27.156350Z digest=sha256:5af7b08dd52d9e686076a48e302f21a700f3b15e5de12cecf34ef314b3d44a79

Observation 486dfb5c-94b5-4ec6-828c-ef1ece1a1e14 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-12T19:41:44.382540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T19:41:44.263663Z digest=sha256:528c77b16efcc7beeb170aa6ba497b8f629467cc519fab71679c3651e063e655

Observation a7055a67-eeeb-42a5-9f83-6ec12526dfe2 · inbound

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-15T06:08:05.512899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T06:08:05.386345Z digest=sha256:9a6bd11c002b27de595a2bb842ed20cbcd37a98a3dbc645ac6a51ffef9e9f145

Observation 2a4941d5-0ff6-4e4a-a24a-91224c632ba9 · inbound

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning cites this paper.

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:26:55.091676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-16T22:26:55.008143Z digest=sha256:ef197509b8e3d8071a94f4d1a587ecd3b8ce9129745bd5715a8c800dbd795271

Observation 8ccd186c-3cdf-4958-a6c2-eabef6a6981b · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T03:55:20.524488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T03:55:20.355345Z digest=sha256:f5406c16fd244e313375e602f093a634c7d99c75cc8cfc43da16584b2dfa895e

Observation 46c6c85c-029b-4599-9417-58dc05871f23 · inbound

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention cites this paper.

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-21T18:17:00.289391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T18:17:00.157129Z digest=sha256:d25058ab319e11da649b13348cd2d7409a692610b39a981bf26d5d9cdc82a249

Observation 1df9fab1-4a74-42b7-8008-d9acfc89d46f · inbound

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models cites this paper.

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-24T02:03:44.409957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T01:59:53.326834Z digest=sha256:8d99b7b2a7c544fd087f6ecc4e052dc898e15b101123696f1b2739be6efc955f