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Paper Citation Record · LEDGER

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2608.04591.

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

pith.paper-citation-record.v1
2608.04591 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:22:45.067478Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy28
  • unresolved32
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a6658d8-8a17-48cc-8c21-f683f4862059 · outbound

This paper cites Proceedings of the International Conference on Neural Information Processing Systems , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the International Conference on Neural Information Processing Systems , pages =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.154540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.752823Z digest=sha256:39e9ca86e6ba99399f95923775b62fe44717cdaece721216e66b9f5dd0952eb1

Observation 21eff041-0b5c-4d9c-a269-8eb5f72cff2a · outbound

This paper cites Proceedings of the International Conference on Learning Representations , year =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the International Conference on Learning Representations , year =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.138611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.759446Z digest=sha256:3261e7f7a8883c1311288ab033838cebef971ba9d084aa49f5084ece53aaafe9

Observation e2980602-b944-4e1d-9d31-a3d8353151fa · outbound

This paper cites Proceedings of the Annual Meeting of the Association for Computational Linguistics , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Annual Meeting of the Association for Computational Linguistics , pages =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.123055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.764403Z digest=sha256:5438e0b4e7e1ce142dea39eb629e7c206356c29607f473caf0a6f9655bcfe690

Observation 8e82030f-f62b-4237-96cf-b91f02c0629d · outbound

This paper cites AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.769019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.769019Z digest=sha256:54d3bfe7aace6ec4461c848e614a8d8f68680fce780265bdfeae677d922f7edc

Observation f0cc3f5a-3a52-4705-8a0d-733ca1a87e7f · outbound

This paper cites AbsenceBench: Language Models Can't Tell What's Missing.

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

Reference 5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.774647Z digest=sha256:a0d8b2426867b2f342eb44b5deae64ad1423ad097bcc728120954f06a9e066e2

Observation a0104e12-9069-446d-be89-3cd5267ecb98 · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.107308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.779668Z digest=sha256:d9093c7aaca142ff2d6305c388694d8326042b805b7efe4536271c121903b582

Observation bc47d651-7179-4668-b09f-d6fca518f255 · outbound

This paper cites ACM Computing Surveys , volume =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models ACM Computing Surveys , volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.091555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.785091Z digest=sha256:6da1c556388c93e74c91dda05742bc0068436b43eb9c7c825aee995911088f84

Observation c99772de-fbeb-4a1c-bdcd-085500e549bb · outbound

This paper cites Proceedings of the International Semantic Web Conference , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the International Semantic Web Conference , pages =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.075305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.789727Z digest=sha256:02551a2d637245588de188bef169927d04c4bfc6abfcc2c44df980105a7f6b2d

Observation e688adb1-a5ae-417a-8343-efe45d3a841b · outbound

This paper cites Proceedings of the ACM SIGMOD International Conference on Management of Data , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the ACM SIGMOD International Conference on Management of Data , pages =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.058744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.794422Z digest=sha256:d58f4af359fc3d02bc68b3b08b83a8bde0c2c294e5e9537beffad94b129f0c67

Observation 6afd2e05-5595-40f0-96a5-096e32f297e9 · outbound

This paper cites Journal of Machine Learning Research , volume =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Journal of Machine Learning Research , volume =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.041770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.799404Z digest=sha256:cb529ece29a37448f96d1ab9034486897a1c6fe5517a690680052554e8ba8492

Observation dac52033-3faf-42eb-84c2-b02a96d7dc9e · outbound

This paper cites Proceedings of the International Conference on Neural Information Processing Systems , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the International Conference on Neural Information Processing Systems , pages =

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.024286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.804184Z digest=sha256:8467c23cccc67978f754125858f318f11629879aa80d00bc779c011d0b000d7e

Observation 1c433c0f-b135-4d37-9a76-4bd9f3675b85 · outbound

This paper cites Language Models (Mostly) Know What They Know.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Language Models (Mostly) Know What They Know

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.809174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.809174Z digest=sha256:50f891f4cdcaff3855864cc27a3d130e3d0fc4f2c58b0a55c89851373df6f9e0

Observation 1ffefaae-fa34-4c0c-8804-fa08183c0e6b · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Findings of the Association for Computational Linguistics: ACL 2023 , pages =

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:46.007725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.814431Z digest=sha256:726340a1b8ea2e1e0d021904910951522fa71eace8418e6244cefc4ce8dfdffe

Observation 2664eafe-2516-40e7-b980-9beb4f16eadb · outbound

This paper cites Proceedings of the Annual Meeting of the Association for Computational Linguistics , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Annual Meeting of the Association for Computational Linguistics , pages =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.991671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.819236Z digest=sha256:c55dad9c382508fb72cdacf137986ede0e159b5616a6112a06f842a3200ce0df

Observation d29ba949-7c4e-4d0f-9ee9-a9e2784c986b · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.974766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.823664Z digest=sha256:23edf43089dadd95bb49458f9e80ee5ff01312082203c92e3b82fffc8284e47f

Observation 5d1273a3-9b84-4f84-b8f9-8bc2f2646032 · outbound

This paper cites Proceedings of the International Conference on Learning Representations , year =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the International Conference on Learning Representations , year =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.957847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.828043Z digest=sha256:58205955aaf5c8fc9da387cf5c6c1d5578c2ba8ad220bc51a288fb1398e66ffe

Observation 6bdd757e-1cef-4a7c-b5b5-6875645d4142 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.832620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.832620Z digest=sha256:df265e0f945462485b1a72f7b67ddc99532b2978e800e4157455267a87445d8c

Observation ec315be1-47c5-4f59-8873-bcade7888d4a · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.930547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.837067Z digest=sha256:1265d407d1a0d1e0d5580132a28441fea4a6d2c9c18c7b2f8b22ecdcd495f542

Observation 861efaba-22b9-4c9a-86e8-9c2ef8ad5f18 · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.915186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.841498Z digest=sha256:fecb43b2f334b1d8fe7f43606a7acb85a66aa35030df6d4967d69f62581b792e

Observation d39528ad-6f27-4cad-9598-c544dd35d6ce · outbound

This paper cites Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the Conference on Empirical Methods in Natural Language Processing , pages =

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.899879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.846371Z digest=sha256:de5c74eb8ae3b94aec2cfbedab092ca7e412798088dc54073608e166bb1cedbb

Observation 983ac84c-f7d6-430c-8dc9-36a61ecc0269 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.883692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.850849Z digest=sha256:7a97dc2703761fd4d4e419f297aba9111db7cbf260bab245b7bbfdc037002062

Observation 53dc3ca8-faee-4fe0-b262-47a835a7ca89 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.866329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.855422Z digest=sha256:8ef82c8a1580070e38934eabf8e1fc5106b64fd55e74a65ebb24e3cd872c07c3

Observation fffaf2ba-e31f-4d21-836f-1331a75df149 · outbound

This paper cites Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models , year =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models , year =

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.850165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.860131Z digest=sha256:582ad58941e22428517761838c70f0f4d7197bfd6cb5cede093ef6ee846d5193

Observation 1a621936-e517-4be8-a53b-3160ee9279c2 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.834663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.865053Z digest=sha256:e0ba956b09508b4825f72674849da56b755d85895f89a99a6e249f715b339277

Observation 5a31670b-6320-45d9-8873-bba55c7636e3 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.819176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.869683Z digest=sha256:44cb6fb3042b05f1f5148f5cbaa9ec0c788527e6a084028ec3cc1ab109857df2

Observation de8b1d1b-60ad-4600-b624-e1e94586a0ba · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.803333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.874933Z digest=sha256:53032cf3b474ad20d180b921a00d504891a00b80c9d9c49bae8b6fb5b358a3b1

Observation 65467653-ed8e-4a33-9625-30b10a95e810 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 27

Resolution
parse uncertain
no resolver link, observed 2026-08-06T21:22:44.880042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.880042Z digest=sha256:8bc792e4143f678fc56f5b289fa779808540074204d30dd275982079927009f8

Observation afac2cf2-b4a6-49e9-b851-0ebc2b211e64 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.777291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.885455Z digest=sha256:1ac54b06032cc30d3c0e265983657df83aaaedbc71ab9ba4358e3f1da0afe164

Observation 675df14f-089b-406a-9cce-115f8d88e574 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.761422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.890132Z digest=sha256:8b1b29a4078f72039cd002f56e4d4f85c8267fcb27570b73e973cc758eaf0c13

Observation c684bca6-0d55-48e4-ae62-dbd72c988d44 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:22:45.745893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.894720Z digest=sha256:4498483c4366fc1ee97e000de2f260c3fa16768ddc786c42f8e5b8a5d654ca67

Observation 6f9476a9-5f2a-4056-a11a-3101e9cc3cc9 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.900123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.900123Z digest=sha256:413f84a5fc660d0a758d435514064e9680a3cb0f7092d8404bd0ff7b004ed194

Observation f0e40517-2034-4d5b-b43e-04aa999f4902 · outbound

This paper cites Classification Problem Solving.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Classification Problem Solving

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.904883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.904883Z digest=sha256:b3e510834c278f991ab30511d0bd18964c2632fe8972794db6838063255e740e

Observation 6ee41718-acd8-4942-af65-6c10dc8ca9f1 · outbound

This paper cites , title =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models , title =

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.909285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.909285Z digest=sha256:1bf7bc7952b0091c8988db9e45d75617b80c96ffc7afb9df06c5b2905db80259

Observation 54110fee-0cf3-4254-883a-f03951bd925b · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.914367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.914367Z digest=sha256:6dad0ea9bad5415c0a68cd6c80bcfd05a0313d78b143d8b0f661785c4d4d5b4b

Observation 10a9661b-bcad-4601-b82b-acc6acd560dd · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Clancey and Glenn Rennels , abstract =

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.919374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.919374Z digest=sha256:d6c3a82f5599c28efdd2823aea1be70d55cefc59d588801d24b4790efc68629c

Observation 8e38fcb8-21e5-4d55-bcf9-5e1a2c1b183b · outbound

This paper cites and Rennels, Glenn R.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models and Rennels, Glenn R

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.924290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.924290Z digest=sha256:50e6f3fc1fcd2a58152c9d6a8fc2a2f7ab6d8a6b54e35b606b0c1d2baf70e0ff

Observation 07351426-92e5-4336-9fe1-3d6c017fcb69 · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Poligon: A System for Parallel Problem Solving

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.929505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.929505Z digest=sha256:bd77bc7fbe8a14c0c4a6c658b09a2eddd6c7abe78c993641f3ae0ef18d3bbbd6

Observation 9d3e8e7c-792f-4684-b01e-a9c94d6eb60f · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.935408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.935408Z digest=sha256:2da3c2869e1ddf837148e78e2e70a5737ff659b203cfd40f54862df5bd2ab18f

Observation a427054f-1c2c-424f-8ce5-3b71eb958fd4 · outbound

This paper cites The Engineering of Qualitative Models.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models The Engineering of Qualitative Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.940000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.940000Z digest=sha256:1d394ac4ddecce23712998163464a8f0efe4d37478e6ef3d1605ee119cd345bb

Observation 5988cb55-653d-4b54-a74b-a64b5e368385 · outbound

This paper cites 2023 , eprint=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2023 , eprint=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.945426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.945426Z digest=sha256:5748255eec68102b77f38028997177317f6555ade533e1789eb19b93db85de46

Observation 4860c869-fa23-451f-af7d-29f67279cb7a · outbound

This paper cites Pluto: The 'Other' Red Planet.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Pluto: The 'Other' Red Planet

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.950385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.950385Z digest=sha256:bf64faceba1169d8fddc19c117651b4cc20c8253343d8f7f4a6c1c1b2a1ad766

Observation 48cc47f3-e684-4c1d-b859-2b088417e1aa · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Evaluating Very Long-Term Conversational Memory of

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.619349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.955170Z digest=sha256:8e82f9237c30c2bc3b0dcaf5ee0d5ea511e6302f2cbcd1572878073b0fcc26f2

Observation 9352b4a7-9b84-4117-8b7b-eba79b48cbd3 · outbound

This paper cites Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.960465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.960465Z digest=sha256:9cd6de4a87309709d90342597b335510787e8de5cee5d88469c4da6378cd33ec

Observation c34282c0-ae5e-41ac-a046-44cc7f9b653b · outbound

This paper cites Unveiling Privacy Risks in.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unveiling Privacy Risks in

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.965314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.965314Z digest=sha256:449ec826cc3c86d4cba48f7557c3cf442e4811f00dff125cdcf09a1c7e434e72

Observation 4dd1f2dc-624e-4534-9370-27030e38b3b4 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.969862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.969862Z digest=sha256:605c947a11b71e2c41ea1c646659d5aafc85466330735a67280e4d810930a116

Observation 8c861bed-efab-4a2c-bfaa-ea229f107127 · outbound

This paper cites MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.975287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.975287Z digest=sha256:748fa4cd2eea0bb80c7b1045526345269acb25199c10263680f6d5c57fa218df

Observation 0ddda448-f075-44fc-8c1e-02c5d8ec374a · outbound

This paper cites Agent-Memory Protocol: A Privacy-Focused Protocol for.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Agent-Memory Protocol: A Privacy-Focused Protocol for

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.593048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.980378Z digest=sha256:52abcf7ff3c47478f33b3f2163aa64d68d6b76b0bcd1c80b6abed35fab0d5ba0

Observation a4c2f556-b4e1-4ad4-a507-d4cda399ef52 · outbound

This paper cites 2024 , publisher=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2024 , publisher=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.576657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.985084Z digest=sha256:588503e8efd9449501ced7510919b030deae0025fde0739d1d55b3e240c5d97b

Observation 3e91c614-e87e-45db-b031-405faf0e8fac · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.989724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.989724Z digest=sha256:77d951e2b4960d5a2043410b1685116f2b60c418be708d9872013bcb19dd312e

Observation b14f90ef-2d7d-4f4f-98d3-ab7a8fbfe6f1 · outbound

This paper cites 2025 , howpublished=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2025 , howpublished=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:44.994659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:44.994659Z digest=sha256:e398af4d58849e34009f812c0a6493422644b880e865d3605ecb506ba03cb83c

Observation d27fe9dc-9088-4c06-9de4-6fc24e689ffe · outbound

This paper cites 2026 , howpublished=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2026 , howpublished=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.537680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:44.999151Z digest=sha256:c106dcc27302380e38cfa2137a05dadd93c5ec55fe185059d11e35cafd453373

Observation 9ccc51a0-961b-4839-83f7-71528dcd64c2 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 52

Resolution
verified exact
doi, observed 2026-08-06T21:22:45.110027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.009495Z digest=sha256:a89765d5ccf5460a7c14876af2f3e44c6bf7f62fd0481dfff1e951da64b45a7e

Observation 06fcb037-1aaf-4e1d-8492-e4a455335493 · outbound

This paper cites arXiv preprint arXiv:2412.04697 , year=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models arXiv preprint arXiv:2412.04697 , year=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:45.015187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:45.015187Z digest=sha256:665b6d037473afc5173fb07dbe4bfa79117f912e765f13a2e9a0fbfbeaa00a48

Observation cc3fb453-a9a4-4d5a-9ee7-c00e59fac639 · outbound

This paper cites arXiv preprint arXiv:2602.14374 , year=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models arXiv preprint arXiv:2602.14374 , year=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:45.024982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:45.024982Z digest=sha256:6304d51fb8d69582496610ad6e989fa59805c16da911925b0af08fa1c6ce20a7

Observation 8299e49e-5be0-4ad3-a39c-dc4c40059949 · outbound

This paper cites 48th Annual IEEE Symposium on Foundations of Computer Science , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 48th Annual IEEE Symposium on Foundations of Computer Science , pages=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.521865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.030859Z digest=sha256:b8dec1cca3b5a40754466cec9cfd79d0d1946255071bd5f759b41fcee344f391

Observation 61bb99c8-6f11-4703-ba88-2010fa62b769 · outbound

This paper cites 2014 , publisher=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2014 , publisher=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.506649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.036032Z digest=sha256:4d9daba48a2eb1d5b4e3e2fed03b1351c4dd577f640e2ca1c972e08c70ddbeee

Observation 31bb505e-cfef-476e-bc8a-f7996d052a16 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning (ICML) , series=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Proceedings of the 37th International Conference on Machine Learning (ICML) , series=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.490440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.041363Z digest=sha256:a05ce59c4017da7a32a55536dda92a98f8a50d8c6a03c8812d97aac64fd23932

Observation ca5fd62b-ca10-473f-a571-3d53dda337ad · outbound

This paper cites Individual Privacy Accounting via a R.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Individual Privacy Accounting via a R

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.473672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.046413Z digest=sha256:039fda3b6f8f1f4731b50d1ff1527d7b321293d2c7fb9630dbe1282dfe04becc

Observation 8b15c1eb-eae1-4e86-af63-fbaf5e470924 · outbound

This paper cites an unresolved cited work.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T21:22:45.050891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:22:45.050891Z digest=sha256:89c746a95576b98f22515f1769cb5075a05203a3088d03a71e84981ef102fd61

Observation 72262e97-aa63-4a4f-b084-4c70e56c493b · outbound

This paper cites Theory of Cryptography Conference (TCC) , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Theory of Cryptography Conference (TCC) , pages=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.446752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.055685Z digest=sha256:b09b0e56d0d0f529ba0494e940fc576dec13cf40ea9224e1d15e2a83e367875f

Observation 7a65af52-58fa-4174-926c-a7b31a084aaa · outbound

This paper cites Foundations of Software Science and Computational Structures , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models Foundations of Software Science and Computational Structures , pages=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.431044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.060583Z digest=sha256:dc1abf115acc7ef4c043e6f0522af51e0a98a8323628ac48ad0a2e0dbfe6189d

Observation 48cc8c8c-9192-450e-bbd4-8212c5a6f8f3 · outbound

This paper cites 2012 IEEE 25th Computer Security Foundations Symposium , pages=.

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models 2012 IEEE 25th Computer Security Foundations Symposium , pages=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:22:45.415063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T21:22:45.067478Z digest=sha256:f3e41e3c42cb28ac1341641400e753384cd80ef3e38a5221d9e97e4a8d6132ba

Pith citing papers

No inbound Pith citation observations are available.