Paper Citation Record · LEDGER

AbsenceBench: Language Models Can't Tell What's Missing

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 8 inbound Pith citation observations for arXiv:2506.11440.

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

pith.paper-citation-record.v1
2506.11440 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:13:17.797667Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:22:44.774647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:19:50.245560Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy10
unresolved37
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bd0fe80-df29-4d2b-a589-d3c6b0e632c2 · outbound

This paper cites Many-Shot In-Context Learning.

AbsenceBench: Language Models Can't Tell What's Missing Many-Shot In-Context Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.648452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd26a989-0335-450d-9d89-aa1080f9a8d6 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

AbsenceBench: Language Models Can't Tell What's Missing Yi: Open Foundation Models by 01.AI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.652986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56e6fd7a-77b1-4878-bb0d-11a3c679c1f8 · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

AbsenceBench: Language Models Can't Tell What's Missing L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.656859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcc8374-c029-4222-ba5e-64aaaac30c8c · outbound

This paper cites Bowman, Ethan Perez, Roger Baker Grosse, and David Duvenaud.

AbsenceBench: Language Models Can't Tell What's Missing Bowman, Ethan Perez, Roger Baker Grosse, and David Duvenaud

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.265746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59e6c12b-1be1-44d5-aa28-03d6df593380 · outbound

This paper cites Claude 3 haiku: our fastest model yet, 2024.

AbsenceBench: Language Models Can't Tell What's Missing Claude 3 haiku: our fastest model yet, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.256396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b240ed1-6152-4706-af7c-a8f15e1ee392 · outbound

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

AbsenceBench: Language Models Can't Tell What's Missing LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.666475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26baed68-fc15-4741-9621-68208e1e5924 · outbound

This paper cites Unlimiformer: Long-Range Transformers with Unlimited Length Input.

AbsenceBench: Language Models Can't Tell What's Missing Unlimiformer: Long-Range Transformers with Unlimited Length Input

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.670308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11f4f4b-22c4-454e-8ca2-8d6c6f6f1730 · outbound

This paper cites BooookScore: A systematic exploration of book-length summarization in the era of LLMs.

AbsenceBench: Language Models Can't Tell What's Missing BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.673581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6acd2405-5ee4-40df-ae14-56d6fbbad1a0 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

AbsenceBench: Language Models Can't Tell What's Missing Extending Context Window of Large Language Models via Positional Interpolation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.676871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4aeb2d8-1861-4e57-b56d-81de0cdde438 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

AbsenceBench: Language Models Can't Tell What's Missing Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.679986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d5eac7-5bc7-4027-b66b-cf8d190b1f3c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

AbsenceBench: Language Models Can't Tell What's Missing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.683266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce77bd0a-7837-4a4f-9fcd-ff3e30cd340a · outbound

This paper cites Mathematical Capabilities of ChatGPT.

AbsenceBench: Language Models Can't Tell What's Missing Mathematical Capabilities of ChatGPT

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.686818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8f867e-c763-44a5-b07b-fafc618db48c · outbound

This paper cites Simple Hardware-Efficient Long Convolutions for Sequence Modeling.

AbsenceBench: Language Models Can't Tell What's Missing Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.690031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91348c31-eb1e-4342-aa92-49a2c48aff3f · outbound

This paper cites How to train long-context language models (effectively), 2025.

AbsenceBench: Language Models Can't Tell What's Missing How to train long-context language models (effectively), 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.693121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314cd94a-af43-44cc-b755-1474571bdac2 · outbound

This paper cites Gemini 2.5: Our most intelligent ai model, 2025.

AbsenceBench: Language Models Can't Tell What's Missing Gemini 2.5: Our most intelligent ai model, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.247436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3a79523c-c853-49ec-a913-ac6ebc8bd7ff · outbound

This paper cites The Llama 3 Herd of Models.

AbsenceBench: Language Models Can't Tell What's Missing The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.699059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95615ecf-e4c3-4f3f-afe8-9f3d94364ce2 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

AbsenceBench: Language Models Can't Tell What's Missing Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.702868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534072d9-ab58-442f-a018-96860604436e · outbound

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

AbsenceBench: Language Models Can't Tell What's Missing RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.705952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c9b130-cb9c-4e0c-97d7-b9063af6f734 · outbound

This paper cites Mixtral of Experts.

AbsenceBench: Language Models Can't Tell What's Missing Mixtral of Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.709044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 984be04b-3503-41a5-b086-912982775004 · outbound

This paper cites Needle in a haystack - pressure testing llms, 2023.

AbsenceBench: Language Models Can't Tell What's Missing Needle in a haystack - pressure testing llms, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.238761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23c904a3-feed-4302-b6b7-fc1b8b932fd3 · outbound

This paper cites FABLES: Evaluating faithfulness and content selection in book-length summarization.

AbsenceBench: Language Models Can't Tell What's Missing FABLES: Evaluating faithfulness and content selection in book-length summarization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.715567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c134385-792b-4c51-9ea6-155b1800f4e3 · outbound

This paper cites Benchmarking Cognitive Biases in Large Language Models as Evaluators.

AbsenceBench: Language Models Can't Tell What's Missing Benchmarking Cognitive Biases in Large Language Models as Evaluators

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.718512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e5344b0-c219-46e2-99c1-86b488710e7e · outbound

This paper cites The NarrativeQA Reading Comprehension Challenge.

AbsenceBench: Language Models Can't Tell What's Missing The NarrativeQA Reading Comprehension Challenge

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.721714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bffc137-3dd6-44fc-9766-b3b995853ebb · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

AbsenceBench: Language Models Can't Tell What's Missing Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.725291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f02fd82-05aa-4263-8a70-41a75902de14 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, 2025.

AbsenceBench: Language Models Can't Tell What's Missing The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.228912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48a5b14c-7bf1-4424-8f5f-cd326fc48a71 · outbound

This paper cites Openai o3-mini, pushing the frontier of cost-effective reasoning., 2025.

AbsenceBench: Language Models Can't Tell What's Missing Openai o3-mini, pushing the frontier of cost-effective reasoning., 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.219852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f0529d3-daf8-4b7f-8057-ad04af79bf06 · outbound

This paper cites GPT-4o System Card.

AbsenceBench: Language Models Can't Tell What's Missing GPT-4o System Card

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.734425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e74647e-5850-4944-af1d-86d0873be01a · outbound

This paper cites GPT-4 Technical Report.

AbsenceBench: Language Models Can't Tell What's Missing GPT-4 Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.737879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ccfa6f8-8ac4-4fc3-a740-588bac6e9edd · outbound

This paper cites gutenberg-poetry-corpus: A corpus of poetry from project gutenberg, 2018.

AbsenceBench: Language Models Can't Tell What's Missing gutenberg-poetry-corpus: A corpus of poetry from project gutenberg, 2018

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.210950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b8b784a-e963-4eea-88f9-63e0b67a47c8 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

AbsenceBench: Language Models Can't Tell What's Missing RWKV: Reinventing RNNs for the Transformer Era

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.744118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0555fb9-7405-4359-b81d-a649a992860b · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

AbsenceBench: Language Models Can't Tell What's Missing Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.747278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb76f57-1b76-41a0-8d9c-66565c113efe · outbound

This paper cites Qwen3 technical report, 2025 a.

AbsenceBench: Language Models Can't Tell What's Missing Qwen3 technical report, 2025 a

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.202173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 624fdfa1-57c7-4b31-aa60-6f6d80e6ebb9 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, 2025 b.

AbsenceBench: Language Models Can't Tell What's Missing Qwq-32b: Embracing the power of reinforcement learning, 2025 b

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.192878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ef853bc-f219-4f16-baf3-d60978a1bcf4 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

AbsenceBench: Language Models Can't Tell What's Missing Code Llama: Open Foundation Models for Code

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.757980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d8bb6cf-7172-4920-9c7b-ee88dc9a0926 · outbound

This paper cites Z ero SCROLLS : A zero-shot benchmark for long text understanding.

AbsenceBench: Language Models Can't Tell What's Missing Z ero SCROLLS : A zero-shot benchmark for long text understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.761186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5985b6-1d6a-4717-94f6-42bb50b8cfe6 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

AbsenceBench: Language Models Can't Tell What's Missing RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.764087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779560ff-d125-4b76-a476-ab4d55c1d77c · outbound

This paper cites A Length-Extrapolatable Transformer.

AbsenceBench: Language Models Can't Tell What's Missing A Length-Extrapolatable Transformer

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.767285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0c8129-be67-40d4-8a09-820e953193ad · outbound

This paper cites Attention is all you need.

AbsenceBench: Language Models Can't Tell What's Missing Attention is all you need

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.770366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41be1d9e-0019-4b67-bfaf-49151455a136 · outbound

This paper cites Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.

AbsenceBench: Language Models Can't Tell What's Missing Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.773223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6b28314-4984-4097-8f42-ffe392ba4c02 · outbound

This paper cites NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens.

AbsenceBench: Language Models Can't Tell What's Missing NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.776432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c5b1f1-76a0-45ce-9e64-548cd4be8f3a · outbound

This paper cites Grok 3 beta — the age of reasoning agents, 2025.

AbsenceBench: Language Models Can't Tell What's Missing Grok 3 beta — the age of reasoning agents, 2025

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:13:18.177910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77426410-528d-43a0-a526-55cec043c59f · outbound

This paper cites Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack.

AbsenceBench: Language Models Can't Tell What's Missing Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.782387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0416608e-094e-4f4f-a4c2-4a20a02e5fc6 · outbound

This paper cites Qwen2.5 Technical Report.

AbsenceBench: Language Models Can't Tell What's Missing Qwen2.5 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.785799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102efd5b-655b-4ab6-ba39-f87b1ae4a122 · outbound

This paper cites Long-Context Language Modeling with Parallel Context Encoding.

AbsenceBench: Language Models Can't Tell What's Missing Long-Context Language Modeling with Parallel Context Encoding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.788599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23303ff9-36c3-4125-bd84-9493b8df1701 · outbound

This paper cites HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

AbsenceBench: Language Models Can't Tell What's Missing HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.791605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f936a41a-b2a4-4d44-b710-f6820d013140 · outbound

This paper cites $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens.

AbsenceBench: Language Models Can't Tell What's Missing $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.794692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e55bcf3-5a6b-4018-9736-12d0dcdedbaf · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

AbsenceBench: Language Models Can't Tell What's Missing Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:13:17.797667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a529bcd7-92a9-4507-b7d0-d067eb575c35 · inbound

Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation cites this paper.

Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation AbsenceBench: Language Models Can't Tell What's Missing

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.107544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5bceb12-34fd-4946-9055-885ddeb8c53e · inbound

Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems cites this paper.

Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems AbsenceBench: Language Models Can't Tell What's Missing

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:31:17.313713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 27e3d2c1-b4be-484d-9a5b-c41848ca5ebf · inbound

Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems cites this paper.

Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems AbsenceBench: Language Models Can't Tell What's Missing

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:25.217000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85b9209b-8f41-477c-a373-1c1bcf0298e8 · inbound

Locality Does Not Imply Reachability: Boundary Repair in Block-Sparse Causal Attention cites this paper.

Locality Does Not Imply Reachability: Boundary Repair in Block-Sparse Causal Attention AbsenceBench: Language Models Can't Tell What's Missing

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.395398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c3b00df-813b-4824-b32f-191aab9e1cd9 · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals AbsenceBench: Language Models Can't Tell What's Missing

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:50.247302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation de7b2486-b4fc-40ae-9dac-3c900777e07b · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals AbsenceBench: Language Models Can't Tell What's Missing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T11:58:52.700648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04a9899-bad2-4526-b63f-f5d0e9e2010e · inbound

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals cites this paper.

The inattentional gap in task conditioned AI models that omit otherwise reportable safety critical signals AbsenceBench: Language Models Can't Tell What's Missing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T04:42:46.166372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models cites this paper.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models AbsenceBench: Language Models Can't Tell What's Missing

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Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:44.774647Z

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