Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T08:03:46.297577Z
Paper Citation Record · LEDGER
Prompt Compression via Activation Aggregation
As of 15 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2607.08399.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
82 of 82 outbound references displayed
- verified exact27
- verified fuzzy30
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch24
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fdbfaad8-f60b-4dfd-9b46-ead844f491e8 · outbound
This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =.
Prompt Compression via Activation Aggregation Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.169999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1452e0dd-4146-475d-8c1e-3c40b10267e3 · outbound
This paper cites Proceedings of machine learning and systems , volume=.
Prompt Compression via Activation Aggregation Proceedings of machine learning and systems , volume=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.164909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b68e037-a3cc-4f55-a7de-348e9783bf0c · outbound
This paper cites Proceedings of the 29th Symposium on Operating Systems Principles , pages =.
Prompt Compression via Activation Aggregation Proceedings of the 29th Symposium on Operating Systems Principles , pages =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.166561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b56efbf-be10-42b4-94fe-d5cebed6a868 · outbound
This paper cites International conference on machine learning , pages=.
Prompt Compression via Activation Aggregation International conference on machine learning , pages=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.172114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5f99057a-a231-4a13-bf14-4fc4155ba07d · outbound
This paper cites 2025 , organization=.
Prompt Compression via Activation Aggregation 2025 , organization=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.158067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9dc78236-17a6-4063-bc2b-378aabf08499 · outbound
This paper cites Proceedings of the 2022 conference on empirical methods in natural language processing , pages=.
Prompt Compression via Activation Aggregation Proceedings of the 2022 conference on empirical methods in natural language processing , pages=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.159664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f0e5429d-4c80-4de1-9d2a-caee6303aebf · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Prompt Compression via Activation Aggregation Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.163270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cb2b221f-3e92-4dc8-87a2-4351f0a3b638 · outbound
This paper cites 2020 , howpublished =.
Prompt Compression via Activation Aggregation 2020 , howpublished =
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.161471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 893f9afc-1fe0-434c-95d0-54a64590787b · outbound
This paper cites 2023 , eprint =.
Prompt Compression via Activation Aggregation 2023 , eprint =
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.177509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0d5faa1-03a6-4455-b37f-0ee7e513790b · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
Prompt Compression via Activation Aggregation Transactions of the Association for Computational Linguistics , volume=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.167435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 569aac8e-c4ab-4bc9-b134-1e71e338cc8f · outbound
This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages =.
Prompt Compression via Activation Aggregation Findings of the Association for Computational Linguistics: EMNLP 2023 , pages =
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.126279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 72249f6b-d5d7-4200-960f-4d58064de9e5 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Prompt Compression via Activation Aggregation Advances in Neural Information Processing Systems , volume =
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.130008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ccd2ff78-f954-427e-9b3a-761364fb7e55 · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Prompt Compression via Activation Aggregation Advances in Neural Information Processing Systems , volume =
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.131833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 23521aba-1518-414f-8019-e70f645c994d · outbound
This paper cites Prompts have evil twins.
Prompt Compression via Activation Aggregation Prompts have evil twins
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.489794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0d24e869-e3be-468e-a517-2a4a6f159c49 · outbound
This paper cites How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach.
Prompt Compression via Activation Aggregation How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.494774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f9b6f37f-735d-437b-a5cd-700174a7aa5f · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.
Prompt Compression via Activation Aggregation Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.122799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6dac8314-6226-4cf6-ade8-66f6c136895d · outbound
This paper cites In-context Autoencoder for Context Compression in a Large Language Model.
Prompt Compression via Activation Aggregation In-context Autoencoder for Context Compression in a Large Language Model
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.824339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f9e76a5-fbf1-49c8-8b5b-848209e09b63 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Prompt Compression via Activation Aggregation Advances in Neural Information Processing Systems , volume=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.124501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 24718092-8549-433d-824e-bf224489e6a6 · outbound
This paper cites In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.
Prompt Compression via Activation Aggregation In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.842018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74cf9e5b-b8af-44e4-8e00-f23b63fb494f · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2022 , pages=.
Prompt Compression via Activation Aggregation Findings of the Association for Computational Linguistics: ACL 2022 , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.164010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9654eb0f-e061-4137-b016-482e943465b4 · outbound
This paper cites Steering Llama 2 via Contrastive Activation Addition.
Prompt Compression via Activation Aggregation Steering Llama 2 via Contrastive Activation Addition
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.839931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9f1abd8d-0ca1-4d73-a858-382766d2c566 · outbound
This paper cites The Internal State of an LLM Knows When It's Lying.
Prompt Compression via Activation Aggregation The Internal State of an LLM Knows When It's Lying
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.455918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 02882827-9f6c-45f5-a270-9fa431526a92 · outbound
This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.
Prompt Compression via Activation Aggregation The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.442199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef966a6b-d11d-4927-a5ff-07acb8c4ad06 · outbound
This paper cites Discovering Latent Knowledge in Language Models Without Supervision.
Prompt Compression via Activation Aggregation Discovering Latent Knowledge in Language Models Without Supervision
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.502233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d8373c91-da9d-4d83-9c70-d08ec5fdad07 · outbound
This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.
Prompt Compression via Activation Aggregation Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.490962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef87fa61-813b-4441-9e8c-36f3116d37d9 · outbound
This paper cites Do Androids Know They’re Only Dreaming of Electric Sheep?.
Prompt Compression via Activation Aggregation Do Androids Know They’re Only Dreaming of Electric Sheep?
Reference 27
- Resolution
- verified exact
- doi, observed 2026-07-10T08:06:57.493388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 33e9d92f-ceed-42f8-a9e4-f7828a1cb02b · outbound
This paper cites LLM Internal States Reveal Hallucination Risk Faced With a Query.
Prompt Compression via Activation Aggregation LLM Internal States Reveal Hallucination Risk Faced With a Query
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.473390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a453db0-976f-4005-9229-08002b7d0ae1 · outbound
This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.
Prompt Compression via Activation Aggregation Representation Engineering: A Top-Down Approach to AI Transparency
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.842223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 07f14b3a-ccfe-4960-944e-2202ba08d69a · outbound
This paper cites Does Representation Matter? Exploring Intermediate Layers in Large Language Models.
Prompt Compression via Activation Aggregation Does Representation Matter? Exploring Intermediate Layers in Large Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.505320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3942a417-0765-4712-9e6c-855946b7183a · outbound
This paper cites Findings of the Association for Computational Linguistics: EACL 2026 , pages=.
Prompt Compression via Activation Aggregation Findings of the Association for Computational Linguistics: EACL 2026 , pages=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.152892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ed85f51d-0f63-4fc0-b038-a453380b7857 · outbound
This paper cites International Conference on Learning Representations , volume=.
Prompt Compression via Activation Aggregation International Conference on Learning Representations , volume=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.154667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0862e415-516c-48ee-a28a-bf819a52dcdb · outbound
This paper cites Steering Language Models With Activation Engineering.
Prompt Compression via Activation Aggregation Steering Language Models With Activation Engineering
Reference 33
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.500803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1575f886-a072-4ad8-a887-2d1c36e0bd16 · outbound
This paper cites Steering Llama 2 via Contrastive Activation Addition.
Prompt Compression via Activation Aggregation Steering Llama 2 via Contrastive Activation Addition
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.461707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 49ac6977-4ad1-4e23-8520-9c4cb27db991 · outbound
This paper cites In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.
Prompt Compression via Activation Aggregation In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.492334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0541a86e-2560-40a0-929f-7df244f77dcd · outbound
This paper cites 2024 , howpublished =.
Prompt Compression via Activation Aggregation 2024 , howpublished =
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.156450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d32fb3a7-f8e9-4f83-b4a8-0244d0caeef7 · outbound
This paper cites May 24th, 2023 , journal=.
Prompt Compression via Activation Aggregation May 24th, 2023 , journal=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.149578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d747033-31ff-495d-bb10-604243f51338 · outbound
This paper cites 2022 , howpublished =.
Prompt Compression via Activation Aggregation 2022 , howpublished =
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.151187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4bcb49ef-05c7-44ff-8907-80873b1a275c · outbound
This paper cites 2023 , journal=.
Prompt Compression via Activation Aggregation 2023 , journal=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.146253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1bc5f364-bc48-4a6b-9762-c8b059b8e0e9 · outbound
This paper cites 2020 , howpublished =.
Prompt Compression via Activation Aggregation 2020 , howpublished =
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.144679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c4d0638d-21e0-41d6-9781-1e64fbcf294f · outbound
This paper cites Mechanistic Interpretability for AI Safety -- A Review.
Prompt Compression via Activation Aggregation Mechanistic Interpretability for AI Safety -- A Review
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.496482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1179f9d9-de83-4890-8b73-9784324c9c1a · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Prompt Compression via Activation Aggregation The Twelfth International Conference on Learning Representations , year=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.148043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1b9d8562-1f4c-484b-91b2-f9108f7ee66d · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Prompt Compression via Activation Aggregation Advances in Neural Information Processing Systems , volume=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.142773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6123b0d0-a774-466e-b719-d10835bdddba · outbound
This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.
Prompt Compression via Activation Aggregation The Linear Representation Hypothesis and the Geometry of Large Language Models
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.506266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 577aa6b8-abe3-44f0-8ee4-edd979534a79 · outbound
This paper cites Linguistic Regularities in Continuous Space Word Representations.
Prompt Compression via Activation Aggregation Linguistic Regularities in Continuous Space Word Representations
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.139953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8fab8756-d5cf-43d0-a323-3eba7439c377 · outbound
This paper cites Efficient Estimation of Word Representations in Vector Space.
Prompt Compression via Activation Aggregation Efficient Estimation of Word Representations in Vector Space
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.481662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 32707b30-b250-4e12-976e-81c496d75d06 · outbound
This paper cites A few billion lines of code later: Using static analysis to find bugs in the real world.Communications of the ACM, 53(2):66–75.
Prompt Compression via Activation Aggregation A few billion lines of code later: Using static analysis to find bugs in the real world.Communications of the ACM, 53(2):66–75
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-10T08:06:57.477685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 10a95d77-c3b4-4478-877f-e89f1f56c1f9 · outbound
This paper cites , year =.
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.169195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 969f5ccd-3349-4513-9f30-8d2b71979821 · outbound
This paper cites Ministral 3.
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.829716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7bcb2467-6bd9-4147-a2f3-390ea0577f0c · outbound
This paper cites Qwen2 Technical Report.
Prompt Compression via Activation Aggregation Qwen2 Technical Report
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.832197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8014cc8-efe3-4e2e-83a5-384043507434 · outbound
This paper cites Falcon Mamba: The First Competitive Attention-free 7B Language Model.
Prompt Compression via Activation Aggregation Falcon Mamba: The First Competitive Attention-free 7B Language Model
Reference 51
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.834639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6bf5355d-60e7-488a-b750-305b9c8aee48 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Prompt Compression via Activation Aggregation Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 52
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.516334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 12bc311e-f781-4702-9fcb-a77d15d4d55b · outbound
This paper cites The Llama 3 Herd of Models.
Prompt Compression via Activation Aggregation The Llama 3 Herd of Models
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.499686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b4e905cc-35ea-4a2c-b687-62b00d09b373 · outbound
This paper cites Conference on Robot Learning , pages=.
Prompt Compression via Activation Aggregation Conference on Robot Learning , pages=
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.135374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9a23e102-9c70-40d8-a71f-380ad19b1255 · outbound
This paper cites and Varoquaux, G.
Prompt Compression via Activation Aggregation and Varoquaux, G
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.137262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7718f5e2-e2fa-4020-a03f-4f0a72465369 · outbound
This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
Prompt Compression via Activation Aggregation Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 56
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.522057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b02a957e-e9a7-4ff1-8684-64c12e62b8ba · outbound
This paper cites Simple synthetic data reduces sycophancy in large language models.
Prompt Compression via Activation Aggregation Simple synthetic data reduces sycophancy in large language models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.510566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85aff693-2e15-4e19-9915-dae5ab577cae · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Prompt Compression via Activation Aggregation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.453256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 96cba7bd-2c62-4d6f-a542-b5a4237daeab · outbound
This paper cites Fine-Tuning Language Models from Human Preferences.
Prompt Compression via Activation Aggregation Fine-Tuning Language Models from Human Preferences
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.477792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29b07483-a301-42a1-a6a1-cd1664870279 · outbound
This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.
Prompt Compression via Activation Aggregation Arcee's MergeKit: A Toolkit for Merging Large Language Models
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.507921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 239e4611-85d2-4ac0-b592-b4ef077d9d19 · outbound
This paper cites LLMs Will Always Hallucinate, and We Need to Live With This.
Prompt Compression via Activation Aggregation LLMs Will Always Hallucinate, and We Need to Live With This
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.470540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a564155-5c7c-4cd9-80dc-c9ec1044043f · outbound
This paper cites On Faithfulness and Factuality in Abstractive Summarization.
Prompt Compression via Activation Aggregation On Faithfulness and Factuality in Abstractive Summarization
Reference 62
- Resolution
- verified exact
- doi, observed 2026-07-10T08:06:57.453871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2dc6b245-f07f-488c-a8c0-0a3a7d18fd8a · outbound
This paper cites Alignment for Honesty.
Prompt Compression via Activation Aggregation Alignment for Honesty
Reference 63
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.487357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4061029f-ff0b-457e-adbd-e1a4b46700df · outbound
This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.
Prompt Compression via Activation Aggregation Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.515166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3f284a3d-41d1-4b58-aa61-a284f03fcc23 · outbound
This paper cites Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation.
Prompt Compression via Activation Aggregation Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.524743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d656170e-5eac-40ad-8ece-032941995a3f · outbound
This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.
Prompt Compression via Activation Aggregation Aligning Large Multimodal Models with Factually Augmented RLHF
Reference 66
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.519130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a78530b2-f962-4608-826f-753ad943b54d · outbound
This paper cites R-Tuning: Instructing Large Language Models to Say `I Don't Know'.
Prompt Compression via Activation Aggregation R-Tuning: Instructing Large Language Models to Say `I Don't Know'
Reference 67
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.433079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9989586c-dbdd-44e9-a88f-029f7bf66627 · outbound
This paper cites doi: 10.18653/v1/2024.naacl-long.219.
Prompt Compression via Activation Aggregation doi: 10.18653/v1/2024.naacl-long.219
Reference 68
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T08:06:57.475391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc2dc852-a346-4e8c-88d0-a7558c11e815 · outbound
This paper cites Artificial intelligence hallucinatMarks2023ions in anaesthesia: Causes, consequences and countermeasures , volume =.
Prompt Compression via Activation Aggregation Artificial intelligence hallucinatMarks2023ions in anaesthesia: Causes, consequences and countermeasures , volume =
Reference 69
- Resolution
- verified exact
- doi, observed 2026-07-10T08:06:57.459363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 826aed91-ab4b-4742-a91b-a3ca12f33bd8 · outbound
This paper cites Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals , volume =.
Prompt Compression via Activation Aggregation Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals , volume =
Reference 70
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-10T08:06:57.464586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63e09634-b8de-43ae-9f6e-d88df368a6e7 · outbound
This paper cites Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models.
Prompt Compression via Activation Aggregation Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.462468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation facb1ba2-84d5-424a-9f00-8b2019be4e46 · outbound
This paper cites A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.
Prompt Compression via Activation Aggregation A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.503798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f03e6164-2ee1-4a02-ac1c-8c0388ade134 · outbound
This paper cites Scientific Reports , volume =.
Prompt Compression via Activation Aggregation Scientific Reports , volume =
Reference 73
- Resolution
- verified exact
- doi, observed 2026-07-10T08:06:57.484985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8c472398-2308-4154-9c4d-c21fab8b963e · outbound
This paper cites Measuring Massive Multitask Language Understanding.
Prompt Compression via Activation Aggregation Measuring Massive Multitask Language Understanding
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.832010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 09dcecfa-6eb8-45e0-bd00-43c39255add8 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
Prompt Compression via Activation Aggregation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.837130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a44e74e-a7c0-4a12-9f71-c9d573e3fc33 · outbound
This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.
Prompt Compression via Activation Aggregation TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.483233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d574c6f8-f1fc-4a46-9ded-ce0122c9e8a1 · outbound
This paper cites Mitigating Entity-Level Hallucination in Large Language Models.
Prompt Compression via Activation Aggregation Mitigating Entity-Level Hallucination in Large Language Models
Reference 77
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.464338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4c01abb-63d3-4575-ad47-cea1760668eb · outbound
This paper cites MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models.
Prompt Compression via Activation Aggregation MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
Reference 78
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.517949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5bf6087a-f9df-4a02-956c-b2891916a59b · outbound
This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.
Prompt Compression via Activation Aggregation Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T08:06:58.127982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3c37077d-f476-4da7-bf2f-10ceaed9cefd · outbound
This paper cites Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models.
Prompt Compression via Activation Aggregation Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.527843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5b0c7cc3-fc20-4b1c-a7a4-98deb1959330 · outbound
This paper cites doi: 10.18653/v1/2024.findings-emnlp.685.
Prompt Compression via Activation Aggregation doi: 10.18653/v1/2024.findings-emnlp.685
Reference 81
- Resolution
- metadata mismatch
- doi, observed 2026-07-10T08:06:57.451956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fac95975-82ea-4320-89c1-3781b2c4744b · outbound
This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
Prompt Compression via Activation Aggregation Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T08:06:57.488108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 44a041af-0dae-4ba7-8234-4ab77b449ac4 · outbound
This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
Prompt Compression via Activation Aggregation A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 83
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T08:06:57.834458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.