Pith. sign in

Paper Citation Record · LEDGER

Code Llama: Open Foundation Models for Code

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 100 inbound Pith citation observations for arXiv:2308.12950.

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

pith.paper-citation-record.v1
2308.12950 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:08:33.011810Z

measured 121 of 121 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 100 of 781 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:14:33.939426Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

398
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d2de7597-0e5f-44ab-be09-211bc7c9f8f6 · outbound

This paper cites LCC-balanced.

Code Llama: Open Foundation Models for Code LCC-balanced

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.027373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:86d3a3d59648c483b87a262d623966bc10ae79c8def0458afb13e11e68c6a1ca

Observation b6896a7c-f5db-4030-9624-04fc524572ff · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.030523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:b46fbcd963b9840e8a405ce54cf1728a36f79a9de8638b31495951746b0c8b4a

Observation e9441875-18f8-4589-af43-b255d4da3f08 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.033212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:ae7d15c50790d1e6c7f64ecdfcf7fe72c4ee59bca777c6a2c0e35c470b9c539b

Observation 0d5c4704-a291-4cca-b1c7-4b0e8936e250 · outbound

This paper cites A pitch should consist of a letter, possibly a # sign, and an octave number.

Code Llama: Open Foundation Models for Code A pitch should consist of a letter, possibly a # sign, and an octave number

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.036029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:80ad989e1bb0e60e9227f8238aa288d952ff6f78b1e722efc3e23a5c2b0c4796

Observation 418390d4-f582-4248-adb4-752cfe99a899 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.038659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:9184791121beff6b3e30ca6ef2af97235b7800debde66abc2b35938817a250f2

Observation 558c947f-82d6-4008-bd0f-3494cb502c86 · outbound

This paper cites The function should ignore characters that aren’t letters, numbers, or spaces.

Code Llama: Open Foundation Models for Code The function should ignore characters that aren’t letters, numbers, or spaces

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.041386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:253f0521ed8e8552bd073d9b4731641f8cb7646046bcc7981f7ded3078bfa995

Observation 33d0bb74-6eec-46b5-a865-84160eff7d40 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.043652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:dc85076ec26ea2fb8fab001c672d164e4313f7d45bcad553658325f1d6fe80ae

Observation 4f0eaba6-9e20-4586-938e-45e4056bcad8 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.046028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:dbd3a8b2d66114309df66e4d705459a8595f5c9d55ce307fd1c7e542e471ca62

Observation 323b46b4-a990-44a5-b3e2-38a4fb168b13 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.048556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:7909e51873d7f9e02db787abe25e4be2e13fdedffd821a58ef7ed51fd6a4fca3

Observation 982b8822-2cea-42aa-93fe-83d7e6dbb2b8 · outbound

This paper cites an unresolved cited work.

Code Llama: Open Foundation Models for Code Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-10T15:08:33.051071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:683f6f5324634438ad9a591a2acbd857523604b2bbf36071a80f311a51ca6c9b

Observation 55518209-e5a2-44cd-9f30-03c06eacae66 · outbound

This paper cites #Test case n.

Code Llama: Open Foundation Models for Code #Test case n

Reference 11

Resolution
malformed identifier
raw_fallback, observed 2026-05-10T15:08:33.053560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:de3c12434fbe26b45b13a5e994f3ff9fb61117b2b78fad86c4756f5a3453fdb2

Observation 4be01278-5044-4d49-8dbf-f914d30f8e4f · outbound

This paper cites Look for the software’s process and check if it is using a lot of CPU or memory resources.

Code Llama: Open Foundation Models for Code Look for the software’s process and check if it is using a lot of CPU or memory resources

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.056015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:84ef7789f0987ed576e5fef76c923f114456ee25eab85e078c97bdc96f94d8a3

Observation a5ae247f-ad3f-48b3-8a25-7d8a0be1ce58 · outbound

This paper cites This will force all running processes to terminate, including the software operation that is not responding.

Code Llama: Open Foundation Models for Code This will force all running processes to terminate, including the software operation that is not responding

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.058766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:27be7790c75a0fb1e495f59e12e2779cf17945eb9aad7564d5a5f58d35e28f49

Observation e87e02c2-a1b9-469d-83fb-cce2d8122590 · outbound

This paper cites This can be done using a cryptographically secure pseudorandom number generator.

Code Llama: Open Foundation Models for Code This can be done using a cryptographically secure pseudorandom number generator

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.061383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:1a60d3120f88d520b17840d661eb8fe74b50c4adaa0c93d4072cf76baf3bb8db

Observation a87b8964-bc7b-4e43-a654-fdbf4af31cf4 · outbound

This paper cites This can be done using a hardware security module (HSM) or a secure key storage solution.

Code Llama: Open Foundation Models for Code This can be done using a hardware security module (HSM) or a secure key storage solution

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.064259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:ad6d6ec0073767d828843d2027b598ad96572a8089b4d06ee2dd53ee9c595b64

Observation d37626ad-b334-42ff-b8fa-6012f5092fe6 · outbound

This paper cites This can be done by implementing role-based access control (RBAC) policies that restrict access to the keys based on the user’s role and privileges.

Code Llama: Open Foundation Models for Code This can be done by implementing role-based access control (RBAC) policies that restrict access to the keys based on the user’s role and privileges

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.066952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:f67f491ff52e7dc21164fa504d4e0831bde6aaf275509e8806e4d22097eb06eb

Observation 906619d6-4771-498e-9183-556dd8197c4a · outbound

This paper cites The encryption key should be stored separately and securely, and the decryption keys should be encrypted using the encryption key.

Code Llama: Open Foundation Models for Code The encryption key should be stored separately and securely, and the decryption keys should be encrypted using the encryption key

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.069575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:8cedd9cf2b2442a462b847e2037d7559e285c0bdab223c444a6701dbee601736

Observation 16ec0a08-d338-4edc-a707-91ebb44c35a0 · outbound

This paper cites This can be done by automatically rotating the decryption keys after a certain period, such as 90 days.

Code Llama: Open Foundation Models for Code This can be done by automatically rotating the decryption keys after a certain period, such as 90 days

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.072091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:c29cd548598bbba4dd7f942074c85481065d4bd26663e11920918edb0f038fdb

Observation 47aea3f8-3bb3-4815-8456-86dd49e54798 · outbound

This paper cites This can be done by storing the decryption keys in a secure location, such as a backup server or a cloud storage service.

Code Llama: Open Foundation Models for Code This can be done by storing the decryption keys in a secure location, such as a backup server or a cloud storage service

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.074344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:c6c2811061b1bb83ca851e785f93ff79880a5ff7edb0b2816a30935df7dbcc43

Observation eff61953-21e2-4a5c-99b5-449d84bb4d2f · outbound

This paper cites decoding.

Code Llama: Open Foundation Models for Code decoding

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.076634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:f74550335db9f67025e185b9c92fad2f4a37a39e64d5b716b445c71eb1a6cfa6

Observation 3a299da4-49fb-4a1c-b22a-7f98656e81e5 · outbound

This paper cites "" Parse host string into (hostname, port) tuple. :param host: host string :return: (hostname, port) tuple.

Code Llama: Open Foundation Models for Code "" Parse host string into (hostname, port) tuple. :param host: host string :return: (hostname, port) tuple

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T15:08:33.078958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:08:33.011810Z digest=sha256:4909f33f0e9efa59ca3d5e6724333b3602acf6d586f7838ca507345e1130d444

Pith citing papers

Observation 947c6be3-7c56-46fe-aa43-917647decbff · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Code Llama: Open Foundation Models for Code

Reference 258

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:46:40.566247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:8083b59d3c52968844069ca13a84fc7d2f3a4b51acd7c59e13bc2f0dd3d6c9cd

Observation 1387f375-fb63-43f5-8064-f47684925b52 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Code Llama: Open Foundation Models for Code

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-14T02:04:17.969215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T02:04:17.888553Z digest=sha256:c46eeeb8ba4f0374b476520b06020cdc9fc5cf4618c65f8711c272849b7eba40

Observation e76e051c-8fcd-42f1-b9b6-0b6dff2da23c · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Code Llama: Open Foundation Models for Code

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:14:10.457071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:57122c0a86668a24f1f576ff0e4b3fda478688d62d5ba97c182b1c092ac3c50f

Observation 3a275a43-7ee5-4958-9aea-759b81c8e776 · inbound

YaRN: Efficient Context Window Extension of Large Language Models cites this paper.

YaRN: Efficient Context Window Extension of Large Language Models Code Llama: Open Foundation Models for Code

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:46:51.247839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T06:46:50.042423Z digest=sha256:83a9d9507543b42a45d276c299f2dd2cc14e395f98e2f01a08b225f2e905fb94

Observation d3f197dd-543b-40bf-9c3e-69106c9ef90a · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Code Llama: Open Foundation Models for Code

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-16T19:33:44.483701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:c1fbb20eb56e42ebdd7544a715544bb5ba8d2ff0a3f6ed0c9858b357aaf41680

Observation dd720e2b-750f-45c9-b71d-0b5516afc8cb · inbound

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

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Code Llama: Open Foundation Models for Code

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-17T23:46:39.684485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-17T23:46:39.330438Z digest=sha256:68aa9a5d52226fdffd9e70cc316fc04adc950a38663b7630b95ed819c342dcf4

Observation 7b3e5844-4c2e-442b-be9c-a51a1152ccdf · inbound

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

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Code Llama: Open Foundation Models for Code

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-13T10:07:53.810357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T10:07:53.748795Z digest=sha256:5dab11700b55c9a871c015089426d094f0afb6ec205fc2b72fe5ba7957bd373c

Observation acc5cb2c-aadd-4683-ab78-4d97e20fe562 · inbound

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

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Code Llama: Open Foundation Models for Code

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-19T09:19:36.160596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-19T09:19:35.918151Z digest=sha256:1a9568ff715915b261150bf0267b8699129bbf4eda4098e83271fbfd34504cbd

Observation 42107e2d-bf39-47fd-8473-5664794466cd · inbound

Mistral 7B cites this paper.

Mistral 7B Code Llama: Open Foundation Models for Code

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:14:00.122602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T06:11:38.406350Z digest=sha256:d66e5defba228d3f6895eb42c695051448bdb046e6da3c94557588b2e831c033

Observation c1dd65e5-2914-4416-b5fb-2ff42aa1a8e0 · inbound

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

Jailbreaking Black Box Large Language Models in Twenty Queries Code Llama: Open Foundation Models for Code

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-12T09:48:33.191277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T09:48:31.721745Z digest=sha256:2866a86112fd26a04d7215e5b9cdcff35dff376fb9811665a3b3833bbbf7ea04

Observation cb8ccbad-7d4d-4cde-b298-82f49f29c216 · inbound

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

Llemma: An Open Language Model For Mathematics Code Llama: Open Foundation Models for Code

Reference 176

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:17:46.322806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-19T08:17:46.055279Z digest=sha256:8131a3309d12a0c5fbb7d1a82013903996a602b0cba21e17300d473d748dde22

Observation 99b766fa-2a30-4625-a5e7-171af6ae5238 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Code Llama: Open Foundation Models for Code

Reference 180

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T09:46:10.168108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:1bed3ef33fe2292c78c5bf0fdcfd5452a9642f29a3ae9397205bf91e844b5720

Observation b6fc324e-7526-4298-9c4e-245d6b0b7138 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation Code Llama: Open Foundation Models for Code

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-15T03:58:46.018688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:78e88dfd6cb70c5ff63448cd100ed5c9477724784695cd0b92ae0612d2fd9782

Observation 2e9daca2-1ad1-411d-809d-6da606b4eb53 · inbound

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

ConfusionPrompt: Practical Private Inference for Online Large Language Models Code Llama: Open Foundation Models for Code

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:58:54.885463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:a479160f4ee08ba95319bb429d8f58e9f5938d7cc56cdcdf6bcb6fc3d1f2e2a9

Observation 0968558a-ae54-43ba-b78d-df268dd207fc · inbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Code Llama: Open Foundation Models for Code

Reference 120

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verified exact
local_arxiv, observed 2026-05-11T06:08:06.104349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:56da01f002d324906449fa48c8d394c8c44f83d185b30eba7776e0c6863e498e

Observation d9b8b3ed-26f6-4f4f-bab2-3bf763b4472b · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Code Llama: Open Foundation Models for Code

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-17T00:57:26.933293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:afe5cc1113fc893b62b66b54df3ac98f91fa21ca0148264baab3f990c72ddf47

Observation fa095434-dcbc-49ba-98c3-4b197d7891a1 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Code Llama: Open Foundation Models for Code

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-18T11:17:08.278668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:cf2ad773f95229a73251e359a3e1897fd92b7a6e8ac5ec6e232014d6a60c8bb8

Observation 0cdef81c-6f5f-4a89-9b7f-2c7d7b40ea87 · 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 Code Llama: Open Foundation Models for Code

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-10T17:26:38.904460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:26:38.812485Z digest=sha256:d7e270d1ed704c40a15cca2ee0624d6ac635f680c704cb2e9d4b08920d4f5c79

Observation 23f38b8b-2c76-4812-8520-e3e49032b012 · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models Code Llama: Open Foundation Models for Code

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:08:33.079720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T04:10:17.251713Z digest=sha256:8daacf12b1748921515cca496484bfee94e4f60c2d4ca3b37a564a8ac953b7a5

Observation 324fdc96-ee7f-4dbd-94dd-50c0f10b67d3 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Code Llama: Open Foundation Models for Code

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-11T15:22:55.014383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:848a3af187ce8e82b33a5b9df9bcb7dda855e4c64b19abd7f255a21cbf2bf070

Observation d1ae2d9e-64b4-4f02-93cd-8b0cebe08bcd · inbound

World Model on Million-Length Video And Language With Blockwise RingAttention cites this paper.

World Model on Million-Length Video And Language With Blockwise RingAttention Code Llama: Open Foundation Models for Code

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:36:57.344496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T06:36:57.165551Z digest=sha256:2ca7caa35ec1394ae2f81d1eb10844531566f495449ca76e69d63d09343de8d5

Observation f4c9c8d1-5489-415f-bb5a-d373a27995db · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning Code Llama: Open Foundation Models for Code

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:55:59.665004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:ebaf9c88b7b36d47ec5bcffbebc6e72da596e0650de5d73bfa5950353642cfff

Observation f417d287-0ebe-43a6-9536-6c5726929f71 · inbound

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

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Code Llama: Open Foundation Models for Code

Reference 136

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T23:04:44.501380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:4c1d49d83a5e6644b2e3c7fc0afd0b80b93235e542e8343c78780972571ac45c

Observation 23381b15-e9b6-4ae8-86ea-5c0d61ff0c96 · inbound

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

StarCoder 2 and The Stack v2: The Next Generation Code Llama: Open Foundation Models for Code

Reference 263

Resolution
verified exact
local_arxiv, observed 2026-05-12T17:28:22.991132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:1eca9b91e4734c12ef426b1f678b93d4e0a0451f434a8683aa35ffcbd19125f8

Observation 9e0b4dc3-455a-475c-8d8d-eda6abbb2758 · inbound

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

Retrieval-Augmented Generation for AI-Generated Content: A Survey Code Llama: Open Foundation Models for Code

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:32:17.298531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:5df798fd52b8c46073eea33eee08d4496c9bd9252a512474a0ad73b6799948a3

Observation 7927b1d1-8589-45cd-a412-f5b4579400fc · 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 Code Llama: Open Foundation Models for Code

Reference 300

Resolution
verified exact
local_arxiv, observed 2026-05-10T17:34:42.990533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:ce5731bebd371848a6ca7e396417c78134726bbca4265c2e03b7a35fc68685fb

Observation 0093f683-9fae-4733-b575-a324661f4e10 · inbound

RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.

RouterBench: A Benchmark for Multi-LLM Routing System Code Llama: Open Foundation Models for Code

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-05-16T10:47:31.130086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-16T10:47:31.006944Z digest=sha256:1bb97853ea150de03f3147eeedce40911859178cddd9fa8533c11deb49cd00e1

Observation 98398458-220b-4fa1-910b-4b3bdaab9c3f · inbound

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

Defending Against Indirect Prompt Injection Attacks With Spotlighting Code Llama: Open Foundation Models for Code

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-14T22:28:55.410970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T22:28:55.370749Z digest=sha256:0226d5d60cd114b0d3e6b46f6fe2ede9a96d07338347bd4261f3c65eccfe0569

Observation 30f16448-850c-4948-8765-9c1852eb46f4 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Code Llama: Open Foundation Models for Code

Reference 153

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:44:38.215711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:2f5adb5e8500ab354f789515a2c74d16d0086b385ff75b27784f81da2ea9a61d

Observation 41f51c55-e9b0-453c-819f-70556e88f170 · inbound

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Code Llama: Open Foundation Models for Code

Reference 110

Resolution
verified exact
local_arxiv, observed 2026-05-11T05:36:26.977652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T05:36:26.207359Z digest=sha256:1cd57dde47c700e64e970058e42e5ed68a417f2b085a98a98380b71df69c436a

Observation b72bcdda-3fc3-4151-b424-cf0e84e7831b · inbound

Chameleon: Mixed-Modal Early-Fusion Foundation Models cites this paper.

Chameleon: Mixed-Modal Early-Fusion Foundation Models Code Llama: Open Foundation Models for Code

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:03:28.171407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T10:03:27.919346Z digest=sha256:efd24851446202123c7d7392f888c8d3f024f98e0482102c66b0598fce6eaf51

Observation 7583bbff-7e75-4442-865a-66db08d6ce7b · inbound

SpinQuant: LLM quantization with learned rotations cites this paper.

SpinQuant: LLM quantization with learned rotations Code Llama: Open Foundation Models for Code

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:52:34.749551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T15:52:34.606853Z digest=sha256:4a4182571c09d3231938586422edd45f93688d9b53445c93302148362357c3a8

Observation b14c82a8-2783-4ca3-9712-33507d2384fa · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Code Llama: Open Foundation Models for Code

Reference 232

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:18:06.642142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:53ebd1b8ef45277b2443392cd3ea401bcb6607579cb08a354d44ce965aa40c48

Observation 6d84fce4-3ee4-4326-8fae-7ea9674aadbd · inbound

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling cites this paper.

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling Code Llama: Open Foundation Models for Code

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T09:58:29.190481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T09:58:29.057357Z digest=sha256:571fe6902f0d3caec0942e4c7b2ae35c132cfbd6e1ad2b1efe93ca9a900e10c1

Observation 5d010538-01aa-41d9-ab4e-3b5ad582d8e3 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Code Llama: Open Foundation Models for Code

Reference 129

Resolution
verified exact
local_arxiv, observed 2026-05-22T23:10:41.074874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:541a667995492266f0a483da2df1808c8969cd977e4b1df516864feab828dc09

Observation 19db7ca0-81a1-4232-9311-08671dbc9bd2 · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Code Llama: Open Foundation Models for Code

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T19:29:34.491021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T19:29:34.379712Z digest=sha256:0a2ebe5caf735000095e7b13a25b770f290768e740247a338119d3cb399d7378

Observation 964c9c87-658f-4e36-bfb8-ed1a0c0d93f9 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Code Llama: Open Foundation Models for Code

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-24T00:13:39.613491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:4629c0521b825324b519841d2de5660f5f7e9bff7dc41fb11a24591a04b4fdcd

Observation b2dda536-93b1-41bf-85be-cecf78496350 · inbound

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence cites this paper.

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence Code Llama: Open Foundation Models for Code

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-16T01:06:07.890638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T01:06:07.787696Z digest=sha256:bbba2370f003e7e3d1149e8322346ce61aa6eabb0e7cdef881da108a96da9837

Observation 2b98df74-23c5-4bb5-8021-7ac74090b29d · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs Code Llama: Open Foundation Models for Code

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-18T23:58:29.171477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:bf75e7b16e6e31aa9fb6b13834c271de263b0747daa9098e55186b4e0b2f1c2f

Observation 6a0ce716-5197-4205-af35-8a1203da4a01 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Code Llama: Open Foundation Models for Code

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-20T19:45:36.420577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T19:45:36.337956Z digest=sha256:d8160fd61d2d2769a778a7aacd85ffb65fb7f248818e23916db0f0d55edaac12

Observation 35c58c57-56e4-4ea1-8ecb-e31236b5537e · inbound

Towards Agentic Runtime Healing cites this paper.

Towards Agentic Runtime Healing Code Llama: Open Foundation Models for Code

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-23T22:15:50.044687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T22:14:23.865122Z digest=sha256:e40757a122e1e31a378cbd3d81cd75ffe2a8cb4b8c9290a398baa54899749c79

Observation 55d44e94-fe4a-492f-b6e5-b3df27603bde · inbound

Qwen2.5-Coder Technical Report cites this paper.

Qwen2.5-Coder Technical Report Code Llama: Open Foundation Models for Code

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:08:33.079720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T12:33:38.867604Z digest=sha256:984ca19e5f13d68f2ba568e2ca6b5d35e0794255eee419a606d57ddd78c0a7f3

Observation cf8335cf-b9a3-425a-be0b-37845a9efa0f · inbound

MinerU: An Open-Source Solution for Precise Document Content Extraction cites this paper.

MinerU: An Open-Source Solution for Precise Document Content Extraction Code Llama: Open Foundation Models for Code

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-16T04:00:25.692981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T04:00:25.624430Z digest=sha256:458749f82157d647f1db7f0d128d51082933a49be03b793bbd35890c50a54ba4

Observation 4434a2c0-67de-45eb-97df-fec8928d8b2f · inbound

HybridFlow: A Flexible and Efficient RLHF Framework cites this paper.

HybridFlow: A Flexible and Efficient RLHF Framework Code Llama: Open Foundation Models for Code

Reference 73

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T07:53:38.820736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T07:53:38.715353Z digest=sha256:830814c37ed513ad00e580c6094730a2b0e3bd78c0959a0039e9d275389a9c54

Observation cc2dce73-a10a-48bd-ade3-79fe29458d89 · inbound

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models cites this paper.

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Code Llama: Open Foundation Models for Code

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:09:15.045633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T09:09:14.884516Z digest=sha256:87baa41ad5f77ecfea38b2c6b9594e21deca93ca901446fdde420bc4e1d03974

Observation f9d5406c-48f4-4277-a191-eae2e3e07071 · inbound

Scaling Diffusion Language Models via Adaptation from Autoregressive Models cites this paper.

Scaling Diffusion Language Models via Adaptation from Autoregressive Models Code Llama: Open Foundation Models for Code

Reference 170

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verified exact
local_arxiv, observed 2026-05-20T19:59:36.737178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-20T19:59:36.461146Z digest=sha256:439daca5f8c15fa11ef8bac7a84fbda831cd6e3ccb72e57b5db1888b5b4b2990

Observation f7ae2cab-c271-4fd7-b806-585a92117154 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Code Llama: Open Foundation Models for Code

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:18.895692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:bfff2c971677ca9bdb1eb1af5fe80e1c86c8ab4df7e9063b800ac3101587fe43

Observation a5582a27-02a2-4228-88e2-06b7112c6266 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Code Llama: Open Foundation Models for Code

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.155979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a933e49cacd1e7c43ef3f1eb9bf7e4b9802b34bb7d14abc73b33dba1d5c09c6a

Observation 80dba5df-df87-444f-96f9-1f7b5eae2abc · inbound

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt cites this paper.

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Code Llama: Open Foundation Models for Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T21:14:33.939426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:14:33.939426Z digest=sha256:647654d795923964e4e16ce2f2b6047df92be7ac6b0594e5b36c8e162ce8e4d1

Observation 58911406-4de4-4709-9b33-a1bbe0bb1b13 · inbound

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation cites this paper.

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation Code Llama: Open Foundation Models for Code

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T20:00:37.354900Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T20:00:37.354900Z digest=sha256:4da808189ddc4b8fd4921d87eaf075b15c29c22f701815b1535c0a788e427b4a

Observation 4b783b45-345f-4070-a8c3-4c14cd7df84a · inbound

Bias Unveiled: Investigating Social Bias in LLM-Generated Code cites this paper.

Bias Unveiled: Investigating Social Bias in LLM-Generated Code Code Llama: Open Foundation Models for Code

Reference 31

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source=arxiv_source observed=2026-08-12T19:46:44.612856Z digest=sha256:b147fd2faac85c3cb27807ec8ecdc45dd7ebd798d2847c92c863c6c99ec7e42c

Observation fdc7a3e8-4d6b-4636-8a6a-706fbc38535a · inbound

Generating Energy-efficient code with LLMs cites this paper.

Generating Energy-efficient code with LLMs Code Llama: Open Foundation Models for Code

Reference 15

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source=pdf_text observed=2026-08-12T19:35:00.626085Z digest=sha256:c0bf1dbc90331b06d1ea6ceffb3fe7ff947cdb4c292659d9875098e8cf947fbe

Observation cbed5c7b-82c7-407c-94a6-00e28760e3c9 · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models Code Llama: Open Foundation Models for Code

Reference 31

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local_arxiv, observed 2026-05-23T17:33:15.840543Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:30:54.204300Z digest=sha256:a0be11ceaa64696a29de1c03717370bbcfd3b7339e908176fc6008d1110cb2e0

Observation 4d9ddd4c-704e-4e10-af2b-af62d8b01a28 · inbound

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models cites this paper.

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models Code Llama: Open Foundation Models for Code

Reference 15

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source=pdf_text observed=2026-08-12T19:30:48.699497Z digest=sha256:f327d064b5398eab0b29ac72622731054039fd07080472be4847c5432e7a1ba5

Observation fdf19070-7878-4796-97d9-1e0f73aba4d2 · inbound

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development cites this paper.

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development Code Llama: Open Foundation Models for Code

Reference 15

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source=pdf_text observed=2026-08-12T19:15:55.265926Z digest=sha256:f3c2e6f569eb56869a8b20ff9dc732752970dd6c5531de5501a570cb8587c192

Observation f472b5d4-1999-451a-9040-d657bf852cc5 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs Code Llama: Open Foundation Models for Code

Reference 41

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source=arxiv_source observed=2026-08-12T18:51:31.885985Z digest=sha256:79132b2ecea28d014c7a0139ad5a61b421d1838b4a623dcaffb7ccb4e287039e

Observation 09eb5b24-fa60-4b49-bebc-688cc1621645 · inbound

From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing cites this paper.

From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing Code Llama: Open Foundation Models for Code

Reference 32

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source=pdf_text observed=2026-08-12T18:48:16.404581Z digest=sha256:c995f60e6c85a28b59e7b435f60e4aa9cf8bd681839fb0da1c2c14dde95e7db7

Observation 16cb8d25-70d7-4da7-847f-3ca005c42ad2 · inbound

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval cites this paper.

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval Code Llama: Open Foundation Models for Code

Reference 2025

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source=pdf_text observed=2026-08-12T17:24:31.570294Z digest=sha256:d408a63ac8f4fe8087354e98476a922ae2caff370d17fb94208dc7f2e77bad60

Observation 32c23a89-c1c2-4596-9cd8-b01b64d44b76 · inbound

VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights cites this paper.

VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights Code Llama: Open Foundation Models for Code

Reference 8

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source=pdf_text observed=2026-08-12T19:24:52.278810Z digest=sha256:fef7cf0c9e6e02e18fbda6029f6eb9f56ab035c77c38dc82dcdefab874b74fb7

Observation fadb1eec-c8ee-4b23-965f-fecd02c27652 · inbound

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL cites this paper.

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL Code Llama: Open Foundation Models for Code

Reference 26

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no resolver link, observed 2026-08-12T16:43:45.855715Z

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source=pdf_text observed=2026-08-12T16:43:45.855715Z digest=sha256:8bb474b877bea216b5e51fdc0a36701f8d17cefdf23ff7d0ee2e1300c5088e28

Observation 6b7abd74-868e-4562-a69b-ed465abbc3a7 · inbound

Are Large Language Models Memorizing Bug Benchmarks? cites this paper.

Are Large Language Models Memorizing Bug Benchmarks? Code Llama: Open Foundation Models for Code

Reference 21

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no resolver link, observed 2026-08-12T16:38:42.518109Z

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source=pdf_text observed=2026-08-12T16:38:42.518109Z digest=sha256:618032ad780779adced0c9a47df5a79b5e13b1b9027ee709a6d0ed57e44f8d4a

Observation dec95a63-2d35-453d-b437-4fc16fee6a11 · inbound

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs cites this paper.

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs Code Llama: Open Foundation Models for Code

Reference 30

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no resolver link, observed 2026-08-12T17:05:15.169921Z

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source=arxiv_source observed=2026-08-12T17:05:15.169921Z digest=sha256:1ded308c4e75d4bd3d95a6479dd05140c3b1372c5a5ace404d3e598bc9317752

Observation 09b5c1ad-afa2-4466-98a1-4b8b4e16cee8 · inbound

Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI cites this paper.

Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI Code Llama: Open Foundation Models for Code

Reference 39

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no resolver link, observed 2026-08-12T15:23:21.607237Z

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source=pdf_text observed=2026-08-12T15:23:21.607237Z digest=sha256:cb7f2933d83ed185e113e290a9f8eb730975f49e9a64cfd311eaf26c8e60ff40

Observation 5b97f3fa-633a-4cb8-b14e-656e0d4fcf17 · inbound

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training cites this paper.

Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training Code Llama: Open Foundation Models for Code

Reference 26

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no resolver link, observed 2026-08-12T15:22:34.319681Z

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source=arxiv_source observed=2026-08-12T15:22:34.319681Z digest=sha256:e1dc701d8e780e554ad721f8668408170c0ef0de16f4b93e30281fb1675b9bf8

Observation 444c06e6-7511-4f58-a8ba-2203d7d189f5 · inbound

Planning-Driven Programming: A Large Language Model Programming Workflow cites this paper.

Planning-Driven Programming: A Large Language Model Programming Workflow Code Llama: Open Foundation Models for Code

Reference 2023

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no resolver link, observed 2026-08-12T15:48:11.440489Z

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source=pdf_text observed=2026-08-12T15:48:11.440489Z digest=sha256:67d8dcbca8866c109216b43d37539d89e72b6f12aef516e8273cb4b74731bf4d

Observation 20b07296-6bb1-4ea0-82bf-a9a20caca2f4 · inbound

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation cites this paper.

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation Code Llama: Open Foundation Models for Code

Reference 22

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source=pdf_text observed=2026-08-12T15:05:46.946673Z digest=sha256:c25034988135eaf79e84aa12628d4e51d882623455f46204cccf0f7852738f2e

Observation fa53d8c5-e8c7-473b-a8f7-31cdcb6ee6a5 · inbound

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models cites this paper.

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models Code Llama: Open Foundation Models for Code

Reference 38

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no resolver link, observed 2026-08-12T14:36:45.565957Z

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source=arxiv_source observed=2026-08-12T14:36:45.565957Z digest=sha256:0600c46a89c7cab2303518fa991ea4254a6dcc1bab4fc2846e347035a606b7e3

Observation 1f8e14df-3998-4b11-98c7-b4b2b332eb64 · inbound

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks cites this paper.

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks Code Llama: Open Foundation Models for Code

Reference 6

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no resolver link, observed 2026-08-12T14:18:33.035030Z

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source=pdf_text observed=2026-08-12T14:18:33.035030Z digest=sha256:e19c4d088d2884b29873ddad18a23475fc6ce0b40540bb3c87636675ae086f65

Observation 2866cbf8-d7fd-417f-a35b-2b75fdb9b10f · inbound

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering cites this paper.

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering Code Llama: Open Foundation Models for Code

Reference 2023

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no resolver link, observed 2026-08-12T14:18:31.044852Z

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source=pdf_text observed=2026-08-12T14:18:31.044852Z digest=sha256:6e99472f46d38fe8d9253d7aa83fc92ab2012862ba84cd552b0f26027e9c0f22

Observation 015a868c-7b84-4128-98c3-e329d5acbc7d · inbound

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation cites this paper.

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation Code Llama: Open Foundation Models for Code

Reference 27

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no resolver link, observed 2026-08-12T14:11:31.004266Z

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source=pdf_text observed=2026-08-12T14:11:31.004266Z digest=sha256:c3c5100707bb87b3eb8b2c04567f2ee8631aebd1acc25d7da7ae739c3a8b0492

Observation a678f03c-5545-4a5e-abe1-63c884567898 · inbound

Predicting Emergent Capabilities by Finetuning cites this paper.

Predicting Emergent Capabilities by Finetuning Code Llama: Open Foundation Models for Code

Reference 44

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no resolver link, observed 2026-08-12T13:41:46.168477Z

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source=arxiv_source observed=2026-08-12T13:41:46.168477Z digest=sha256:6d15b468b973739a90330a4d2b60b4e9034ae6132ac37b136dfff34b9030163d

Observation 4e8bd5ea-7bae-4bdf-b30c-4d3e4c828294 · inbound

LLMPirate: LLMs for Black-box Hardware IP Piracy cites this paper.

LLMPirate: LLMs for Black-box Hardware IP Piracy Code Llama: Open Foundation Models for Code

Reference 68

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source=pdf_text observed=2026-08-12T13:36:12.331567Z digest=sha256:6c0a2e49c51afbec29c044b49f64ae931c6214850d3f3a3a544e9cf340672051

Observation ea50d685-7356-4c9d-baa7-bf649150739b · inbound

From CISC to RISC: language-model guided assembly transpilation cites this paper.

From CISC to RISC: language-model guided assembly transpilation Code Llama: Open Foundation Models for Code

Reference 21

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no resolver link, observed 2026-08-12T13:19:49.578036Z

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source=pdf_text observed=2026-08-12T13:19:49.578036Z digest=sha256:c79fbf6fc46eac8ecaa67f308795abb7c8fc9a789ccc03e8b161e46ff4e01a4f

Observation 3be9682e-a04f-4a89-bf56-824d1c93ef78 · inbound

Preference Optimization for Reasoning with Pseudo Feedback cites this paper.

Preference Optimization for Reasoning with Pseudo Feedback Code Llama: Open Foundation Models for Code

Reference 26

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no resolver link, observed 2026-08-12T13:21:05.641756Z

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source=pdf_text observed=2026-08-12T13:21:05.641756Z digest=sha256:045f193e8f3e177dfdada08bf69893e647e900c6645d4953ca438cc635252392

Observation aad9b952-5e45-4e6f-8e10-2d03b96b590f · inbound

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities cites this paper.

Text-to-SQL Calibration: No Need to Ask -- Just Rescale Model Probabilities Code Llama: Open Foundation Models for Code

Reference 23

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no resolver link, observed 2026-08-12T14:09:41.300658Z

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source=arxiv_source observed=2026-08-12T14:09:41.300658Z digest=sha256:5ec28ceb777115049e7f312cd8b40add309c32cb00bf46b904224ba614129f4e

Observation fb413514-ca0a-4d20-8ffd-ad5168d8eee1 · inbound

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics cites this paper.

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics Code Llama: Open Foundation Models for Code

Reference 21

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no resolver link, observed 2026-08-12T12:21:58.039150Z

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source=pdf_text observed=2026-08-12T12:21:58.039150Z digest=sha256:436d8e2d31aa6b729e5d4674ff3fdc417a9bef045aaf45dba2b7a186ecf874a5

Observation 8f093005-c179-4ff7-bb3a-3080b7e02c38 · inbound

Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search cites this paper.

Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search Code Llama: Open Foundation Models for Code

Reference 12

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no resolver link, observed 2026-08-12T12:03:02.806957Z

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source=pdf_text observed=2026-08-12T12:03:02.806957Z digest=sha256:51082e93201ce8903b54f3c01ea3f1cac848a078aa3681cba1156e4f6a57bbbd

Observation bb39a823-609c-4beb-b6fb-1cb354ed5413 · inbound

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation cites this paper.

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation Code Llama: Open Foundation Models for Code

Reference 2024

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no resolver link, observed 2026-08-12T12:02:47.127281Z

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source=pdf_text observed=2026-08-12T12:02:47.127281Z digest=sha256:97cdc56519b66b8fc87d36f0345b189a80af77b95b5619cf8f0ce9c3459f78f0

Observation 610b26a7-9244-4db5-8af7-faa43b0e9654 · inbound

Curriculum Demonstration Selection for In-Context Learning cites this paper.

Curriculum Demonstration Selection for In-Context Learning Code Llama: Open Foundation Models for Code

Reference 37

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no resolver link, observed 2026-08-12T11:33:53.105260Z

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source=pdf_text observed=2026-08-12T11:33:53.105260Z digest=sha256:757dd0515df9a529898672bb4177c68018c8879ba2184b84b38b9329f59b2c8c

Observation 01f275df-d1db-4c32-b435-d11c118f4bd0 · inbound

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems cites this paper.

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems Code Llama: Open Foundation Models for Code

Reference 52

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no resolver link, observed 2026-08-12T10:14:22.195837Z

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source=pdf_text observed=2026-08-12T10:14:22.195837Z digest=sha256:c0a455fe21474bfb0dda7f4787b6f67385fa8b40410c45a00023f1ed9648fca1

Observation e92b8190-c5bc-4cd3-94d9-2b28f4aedf5a · inbound

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code cites this paper.

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code Code Llama: Open Foundation Models for Code

Reference 22

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no resolver link, observed 2026-08-12T10:11:36.772818Z

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source=pdf_text observed=2026-08-12T10:11:36.772818Z digest=sha256:06efcc3e0bcbc261bce4005c5c77dadc68e81f5d39c719ee0523fdb9c991ea28

Observation 65d9f6c2-3b6e-4bd3-9ddb-561f72a4e408 · inbound

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy cites this paper.

Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy Code Llama: Open Foundation Models for Code

Reference 22

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no resolver link, observed 2026-08-12T05:32:45.133037Z

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source=pdf_text observed=2026-08-12T05:32:45.133037Z digest=sha256:83035c9824283f3613f4b97c43c1178a991cd6e6a53e17084b6cfae3e890f270

Observation 4dfbd0ff-da1e-4e76-842c-6277063e3abe · inbound

FullStack Bench: Evaluating LLMs as Full Stack Coders cites this paper.

FullStack Bench: Evaluating LLMs as Full Stack Coders Code Llama: Open Foundation Models for Code

Reference 59

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no resolver link, observed 2026-08-12T05:20:05.446045Z

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source=arxiv_source observed=2026-08-12T05:20:05.446045Z digest=sha256:885709af174ecadaead272a69bbdc9cfbaa144b6a8326b07be5347dad9a30dbf

Observation c1332a21-3826-464f-ab67-1a8888052a35 · inbound

What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation cites this paper.

What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation Code Llama: Open Foundation Models for Code

Reference 38

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no resolver link, observed 2026-08-12T05:02:13.104963Z

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source=pdf_text observed=2026-08-12T05:02:13.104963Z digest=sha256:883dd7a3fc86d44df782d620dd047d9af08c2627ba4c239f60655da72aa8a271

Observation dac24738-44ca-40ff-aa02-0dedbaff6e79 · inbound

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair cites this paper.

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair Code Llama: Open Foundation Models for Code

Reference 72

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no resolver link, observed 2026-08-12T04:46:24.332029Z

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source=pdf_text observed=2026-08-12T04:46:24.332029Z digest=sha256:91dd2d52cd7c186df408abe52329c7d7e6ff22b65c0cdeadf2047849bed5f460

Observation ae1ed16a-a68c-44b6-bad6-b713a187b139 · inbound

RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy cites this paper.

RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy Code Llama: Open Foundation Models for Code

Reference 46

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no resolver link, observed 2026-08-12T04:44:02.327922Z

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source=arxiv_source observed=2026-08-12T04:44:02.327922Z digest=sha256:81a6861f83a885bfdd5729d2f716fd5fc7f3ebcbe72be2801b7998d681a7db0b

Observation 75c92720-a0a7-414c-9d1a-64350dd9f3d4 · inbound

The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries cites this paper.

The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries Code Llama: Open Foundation Models for Code

Reference 48

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no resolver link, observed 2026-08-12T04:33:02.554601Z

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source=pdf_text observed=2026-08-12T04:33:02.554601Z digest=sha256:8658eb90a3fa7f1ad1d0855cfd1ca1b5bca332119ccd6c8a8b00fd548c471a49

Observation 5b079de2-c5b2-49f3-81d6-64ac670f4883 · inbound

AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers cites this paper.

AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers Code Llama: Open Foundation Models for Code

Reference 44

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no resolver link, observed 2026-08-11T23:33:32.271606Z

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source=pdf_text observed=2026-08-11T23:33:32.271606Z digest=sha256:f57085091627d454a29133251e93ff7360cae1d0003f9880f1197bbf04c9e44f

Observation 4efe9efb-d650-4775-9077-08a028bdbfa8 · inbound

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study cites this paper.

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study Code Llama: Open Foundation Models for Code

Reference 23

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source=pdf_text observed=2026-08-11T23:10:06.404648Z digest=sha256:3661313001ac6f12b5e94ffd7e4e15106a531cd229fe6857562a31c1b30cab23

Observation 7613fb7e-43fb-47a4-bb8c-dd6d8014fad8 · inbound

Does Few-Shot Learning Help LLM Performance in Code Synthesis? cites this paper.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? Code Llama: Open Foundation Models for Code

Reference 50

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no resolver link, observed 2026-08-11T23:05:38.346584Z

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source=arxiv_source observed=2026-08-11T23:05:38.346584Z digest=sha256:509c648074545758c31d449fc7da0b8b63eccd900d0325082c1a656437a78083

Observation 51a5578f-3ca2-4b4f-8dcf-4aee7632665b · inbound

Intent-driven In-context Learning for Few-shot Dialogue State Tracking cites this paper.

Intent-driven In-context Learning for Few-shot Dialogue State Tracking Code Llama: Open Foundation Models for Code

Reference 21

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source=pdf_text observed=2026-08-11T22:38:57.034764Z digest=sha256:7b85ab7963b8266c1fd1a10652b05bccc237dee582f3306c0a6862c87bc6945f

Observation 57a34ea4-fe28-4749-9c79-b8dfecbad15d · inbound

RedStone: Curating General, Code, Math, and QA Data for Large Language Models cites this paper.

RedStone: Curating General, Code, Math, and QA Data for Large Language Models Code Llama: Open Foundation Models for Code

Reference 51

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no resolver link, observed 2026-08-11T22:31:03.615724Z

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source=arxiv_source observed=2026-08-11T22:31:03.615724Z digest=sha256:34c07abe43a7021923ab51c38d175487c07666215a7a1029d270aec8bba6fa1e

Observation 9ac0ff62-e816-4d38-af51-3634d30fd0ee · inbound

From Words to Workflows: Automating Business Processes cites this paper.

From Words to Workflows: Automating Business Processes Code Llama: Open Foundation Models for Code

Reference 70

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source=arxiv_source observed=2026-08-11T22:27:10.828058Z digest=sha256:0ae85197cdec6d1855d104742b7502552f831daf6f8e04378dc7ebfa157af785

Observation a1862640-b7c1-4c77-9abc-825978a6310b · inbound

AI-based Attacker Models for Enhancing Multi-Stage Cyberattack Simulations in Smart Grids Using Co-Simulation Environments cites this paper.

AI-based Attacker Models for Enhancing Multi-Stage Cyberattack Simulations in Smart Grids Using Co-Simulation Environments Code Llama: Open Foundation Models for Code

Reference 13

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no resolver link, observed 2026-08-11T21:55:41.868318Z

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source=pdf_text observed=2026-08-11T21:55:41.868318Z digest=sha256:595d54e43348c004491d4120c06806f6df6d898f383aa3622f77a361bec56ebd

Observation 6580b73c-899d-46a8-adfd-987b954800ee · inbound

LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents cites this paper.

LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents Code Llama: Open Foundation Models for Code

Reference 35

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source=pdf_text observed=2026-08-11T21:50:11.038530Z digest=sha256:9b6715c5c8915a0d23d829f88da3540def758e0cc87b7024edb625a71051caac

Observation ec9edf84-ef37-4de0-b7ba-4ef08d4253f0 · inbound

VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction cites this paper.

VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction Code Llama: Open Foundation Models for Code

Reference 48

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no resolver link, observed 2026-08-11T21:40:18.638835Z

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source=pdf_text observed=2026-08-11T21:40:18.638835Z digest=sha256:bed926c4ed23f0a0619911b5cc1462c89ee490730945a629b4897bdef48b0aec

Observation 5015e442-4ad8-4a47-ba94-e2c00f8a5645 · inbound

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation cites this paper.

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation Code Llama: Open Foundation Models for Code

Reference 32

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no resolver link, observed 2026-08-12T17:09:32.554428Z

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source=arxiv_source observed=2026-08-12T17:09:32.554428Z digest=sha256:ad1fc327ebf88ce10642fe7a84aa8d7898eeb55e11fb3b3de854e76126316051

Observation 59f94a6a-360e-4ad7-9d86-aa63d8711962 · inbound

Evaluating and Aligning CodeLLMs on Human Preference cites this paper.

Evaluating and Aligning CodeLLMs on Human Preference Code Llama: Open Foundation Models for Code

Reference 35

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source=arxiv_source observed=2026-08-11T20:53:15.296285Z digest=sha256:f7ea05c04bb9d1915f93abe0b8213b7e08f56c7d9622902ab8ed8c91067ff3f3

Observation 2dd8c059-87ef-433d-81fb-be974f8a6b7e · inbound

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking cites this paper.

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking Code Llama: Open Foundation Models for Code

Reference 34

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no resolver link, observed 2026-08-11T20:39:47.211726Z

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source=arxiv_source observed=2026-08-11T20:39:47.211726Z digest=sha256:83116da76ebc57c313a54f47f3bfe0aad5aba7622912ac43f17ee597302ba4b8

Observation f161c7af-2f00-4d12-ac19-40f1ee2cc549 · inbound

SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation cites this paper.

SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation Code Llama: Open Foundation Models for Code

Reference 31

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source=pdf_text observed=2026-08-11T20:24:33.747563Z digest=sha256:8522d4d3dd28e042480ecfbdd0e77ecc45374bfc6c2c4f85506284d05e246f49