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Paper Citation Record · LEDGER

TECP: Token-Entropy Conformal Prediction for LLMs

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.00461.

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

pith.paper-citation-record.v1
2509.00461 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:41:00.371304Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4191d16e-5127-4903-b0d0-81c718f1096a · outbound

This paper cites write newline.

TECP: Token-Entropy Conformal Prediction for LLMs write newline

Reference 1

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no resolver link, observed 2026-08-05T13:40:56.122025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:56.122025Z digest=sha256:92e279b75a559618e872c86a36b0a59cbddb0753a210a579dd9e8b7979757bac

Observation c9934b01-f975-4393-8c41-3048bc141ed2 · outbound

This paper cites N., Bates, S., et al.

TECP: Token-Entropy Conformal Prediction for LLMs N., Bates, S., et al

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:09.004824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.215090Z digest=sha256:4c23b913da9c5bb99fc5c742472beba368bebd183e765fae319d14a25873029d

Observation dd1d5bcf-1349-403f-ad12-b6c27701314e · outbound

This paper cites F., Candes, E.

TECP: Token-Entropy Conformal Prediction for LLMs F., Candes, E

Reference 3

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raw_fallback, observed 2026-08-05T13:41:08.672346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.355106Z digest=sha256:6dc25591a674d384801c3bef0385758e47fae5b4e3063e447dacd8a2e0c00abb

Observation 8c2e18ed-ec15-41d2-bd87-35f7f613f969 · outbound

This paper cites Does machine unlearning truly remove model knowledge? a framework for auditing unlearning in llms.

TECP: Token-Entropy Conformal Prediction for LLMs Does machine unlearning truly remove model knowledge? a framework for auditing unlearning in llms

Reference 4

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verified exact
raw_fallback, observed 2026-08-05T13:41:01.863050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.474754Z digest=sha256:bf0850c146b994026caf6082257e664851158e2196cabb32bb4541c523488302

Observation dba5554e-10ee-4ada-9d1a-4b34a5bf4a37 · outbound

This paper cites Can llms’ tuning methods work in medical multimodal domain? In MICCAI, 2024 a.

TECP: Token-Entropy Conformal Prediction for LLMs Can llms’ tuning methods work in medical multimodal domain? In MICCAI, 2024 a

Reference 5

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raw_fallback, observed 2026-08-05T13:41:08.284856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.564975Z digest=sha256:16855a24eab05c0e4c263a270d8b35208f61ec416f2721c0ff51f085d066e987

Observation fad4dfc0-83fa-49fc-87e6-747b40ddaa12 · outbound

This paper cites Miss: A generative pre-training and fine-tuning approach for med-vqa.

TECP: Token-Entropy Conformal Prediction for LLMs Miss: A generative pre-training and fine-tuning approach for med-vqa

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:08.073289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.655083Z digest=sha256:41d4d928a6656917e4c9109c2ba7776ebd20efc992f0501d90b867c58d2eb7fb

Observation b2c23b1c-3884-4d65-99f8-6c9aaeaf267e · outbound

This paper cites Detecting and Evaluating Medical Hallucinations in Large Vision Language Models.

TECP: Token-Entropy Conformal Prediction for LLMs Detecting and Evaluating Medical Hallucinations in Large Vision Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-05T13:40:56.784759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:56.784759Z digest=sha256:5b6cfbee3433e79b4331b81df7b71070bff37caf5ffd98c02c9c293c61f198da

Observation 7d91d83a-07f8-49ad-945e-c1cf78c5fcad · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models.

TECP: Token-Entropy Conformal Prediction for LLMs Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 8

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raw_fallback, observed 2026-08-05T13:41:07.710577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.904937Z digest=sha256:d5b24bb307e6b9db5fa7868728ca8fd483dafa7c52ef63137f5ab31faba6c043

Observation febec672-45f5-444c-b5fe-b6a6a743088f · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

TECP: Token-Entropy Conformal Prediction for LLMs Detecting hallucinations in large language models using semantic entropy

Reference 9

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raw_fallback, observed 2026-08-05T13:41:07.443910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:56.997246Z digest=sha256:c8c507e6a7967772de5d3221495dc4cce2b763972ff5bd852a3354ca58c2da2b

Observation d97bb587-a583-4470-b9f6-03d3c5de3f7e · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

TECP: Token-Entropy Conformal Prediction for LLMs A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 10

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raw_fallback, observed 2026-08-05T13:41:07.186352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.134829Z digest=sha256:caec2b3560e5fe5730cf37e6ebac6ce91882e83a30a1c97a0f024db86d2378ae

Observation 8639c94c-a425-4839-869e-bc1734367fcd · outbound

This paper cites and Mazoyer, A.

TECP: Token-Entropy Conformal Prediction for LLMs and Mazoyer, A

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:06.874367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.246548Z digest=sha256:6bf10a04af72b6202a490fc5037db830dbee19ade187b426a43207595c638275

Observation 1fd7da08-0c92-4212-adb8-06e7a0c4f9f1 · outbound

This paper cites Comt: Chain-of-medical-thought reduces hallucination in medical report generation.

TECP: Token-Entropy Conformal Prediction for LLMs Comt: Chain-of-medical-thought reduces hallucination in medical report generation

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:06.634751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.322413Z digest=sha256:d835c982f9d355c8e6c151c416bf53cdf826dbf6cce69ed7d332ce381254baff

Observation 218cec7e-8658-4e05-97ba-bfc94c64b633 · outbound

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

TECP: Token-Entropy Conformal Prediction for LLMs Language Models (Mostly) Know What They Know

Reference 13

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unresolved
no resolver link, observed 2026-08-05T13:40:57.429046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:57.429046Z digest=sha256:6264cbf6e0f7026837ace45eeeda2c911c21756deb14aec50387ab0f57e5f852

Observation f7b72fe6-3ab3-40ba-ae40-10ce5cb261c3 · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation.

TECP: Token-Entropy Conformal Prediction for LLMs Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:06.349728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.561667Z digest=sha256:46bf0b3929d4aec9564e8569a0de794d539c64b0310be08dff1b3d6f5579618f

Observation 56fed26f-1427-44e2-8fa6-84bedf626ce7 · outbound

This paper cites Knowledge graphs, large language models, and hallucinations: An nlp perspective.

TECP: Token-Entropy Conformal Prediction for LLMs Knowledge graphs, large language models, and hallucinations: An nlp perspective

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:06.074763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.675249Z digest=sha256:eb9fc092ddb9a316d3955d516ecc9ebcee6aa4b89d384717daa26c23a13ecf83

Observation 8dd080f8-0465-4548-a1a2-b95a2034b42d · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

TECP: Token-Entropy Conformal Prediction for LLMs Truthfulqa: Measuring how models mimic human falsehoods

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:05.791233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.844936Z digest=sha256:54f63d11f6e9e720ca23b694c1ae9ca78d7e00529a9ddea9b0718da3c4de0f72

Observation e93e7c0d-ac52-4f0c-b3d5-7aad3a3b317d · outbound

This paper cites MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media.

TECP: Token-Entropy Conformal Prediction for LLMs MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media

Reference 17

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verified exact
local_arxiv, observed 2026-08-05T13:41:01.238756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:57.979489Z digest=sha256:9d05dd65fca66703d6ad061cb35457c26231a40eb5c6515947d9a31fd04289cf

Observation 95f1b750-ede4-4d52-9017-ed104147feed · outbound

This paper cites and Gales, M.

TECP: Token-Entropy Conformal Prediction for LLMs and Gales, M

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:05.530108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.079097Z digest=sha256:58ef443a9e3d926b8637b8aa438ef2312324254099d98d624f6f30e94104fd0b

Observation 8df7a659-e223-4d20-954d-1b47edf3372a · outbound

This paper cites and Calderon-Ramirez, S.

TECP: Token-Entropy Conformal Prediction for LLMs and Calderon-Ramirez, S

Reference 19

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raw_fallback, observed 2026-08-05T13:41:05.213302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.204928Z digest=sha256:012102da182291ac6dc72d60f46544733ed08bed879485a6b7385f3a859ab805

Observation c62dca8e-f0dd-489d-8e9f-9d6b370955df · outbound

This paper cites Conformal prediction with cellwise outliers: A detect-then-impute approach.

TECP: Token-Entropy Conformal Prediction for LLMs Conformal prediction with cellwise outliers: A detect-then-impute approach

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:05.054841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.364752Z digest=sha256:6b9c1eb7996b64923a9f10a852966b968585b7b31d2d569049c4f415a8a7b0d7

Observation 27ffd8d8-82f2-4b07-9dfa-52fd157d983d · outbound

This paper cites and Miikkulainen, R.

TECP: Token-Entropy Conformal Prediction for LLMs and Miikkulainen, R

Reference 21

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raw_fallback, observed 2026-08-05T13:41:04.775859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.464753Z digest=sha256:94c472b7325803d3932d516fd0fd45d322ea03e10bf692affac93d837a6636ac

Observation 647df248-a308-4f83-b0fe-c3fbfaddccdc · outbound

This paper cites Backdoor Cleaning without External Guidance in MLLM Fine-tuning.

TECP: Token-Entropy Conformal Prediction for LLMs Backdoor Cleaning without External Guidance in MLLM Fine-tuning

Reference 22

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unresolved
no resolver link, observed 2026-08-05T13:40:58.573452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:58.573452Z digest=sha256:4a4073ef27833ce71a32cb53054256f1eb03998d7a3a514df9919ae170a0a7b0

Observation 5f6ac953-2d04-4ae6-951d-5adb84b96671 · outbound

This paper cites an unresolved cited work.

TECP: Token-Entropy Conformal Prediction for LLMs Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-05T13:41:04.468967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.746463Z digest=sha256:a8dc15e657ac0cebded91c32e273fa35e8c63daa0e34ab18fc7a9126883fa5f0

Observation eb91210d-9c85-4978-8939-330ae84c4cf4 · outbound

This paper cites Large language models: A comprehensive survey on architectures, applications, and challenges.

TECP: Token-Entropy Conformal Prediction for LLMs Large language models: A comprehensive survey on architectures, applications, and challenges

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:04.188257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:58.896054Z digest=sha256:2c4a2fd08b1e146275109b772c2283e6422657f9a0941dffb89c05c43db2b49b

Observation 167267b1-159e-46d0-8ce1-a9ef0aa7fe8b · outbound

This paper cites Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications.

TECP: Token-Entropy Conformal Prediction for LLMs Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:04.065866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:59.076631Z digest=sha256:c3917ab8f30fab98d99b0a7e9edd39b1efd8fb2e337824547b42e3533c87f54c

Observation 5ff7a11f-c600-40f3-a091-60c971304644 · outbound

This paper cites Sample then identify: A general framework for risk control and assessment in multimodal large language models.

TECP: Token-Entropy Conformal Prediction for LLMs Sample then identify: A general framework for risk control and assessment in multimodal large language models

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:03.897611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:59.173830Z digest=sha256:ead59075a13a1540d826767df12e193232daf180778a99788360630f434f3d8f

Observation 5e011728-a65a-4851-b531-7b4ff1376fa5 · outbound

This paper cites ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.

TECP: Token-Entropy Conformal Prediction for LLMs ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM

Reference 27

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unresolved
no resolver link, observed 2026-08-05T13:40:59.301761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:59.301761Z digest=sha256:e0bf6f6d16ce81234239774c99e13caae6acb1ac04fd48deb744a9b20b673c82

Observation 65a3b583-2875-4e4a-8641-80bf084236da · outbound

This paper cites Machinery multimodal uncertainty-aware rul prediction: A stochastic modeling framework for uncertainty quantification and informed fusion.

TECP: Token-Entropy Conformal Prediction for LLMs Machinery multimodal uncertainty-aware rul prediction: A stochastic modeling framework for uncertainty quantification and informed fusion

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:03.714755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:59.441013Z digest=sha256:06c8baafdea58156258b28311ba94ddace31ddc4b1aec7f980a5dc689ef9087c

Observation 4108a5bb-b0f5-4db7-880b-1a28615588a8 · outbound

This paper cites T., and Zhu, X.

TECP: Token-Entropy Conformal Prediction for LLMs T., and Zhu, X

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T13:41:03.250529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:59.627624Z digest=sha256:cca1b9a2cbcb644933b722dcfbad3e6982c191131e2216c4e65be47f4a47bb38

Observation 8c648f01-32ac-4e99-8095-3ee51115f288 · outbound

This paper cites COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees.

TECP: Token-Entropy Conformal Prediction for LLMs COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees

Reference 30

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unresolved
no resolver link, observed 2026-08-05T13:40:59.753203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:40:59.753203Z digest=sha256:688e5c03038d4ec85cf5e442b687ce4d944b3fd65137431e1c6f3c3c15e6f112

Observation f5d7771b-3e22-4d52-bfac-16b97f4ba6d9 · outbound

This paper cites Word-sequence entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond.

TECP: Token-Entropy Conformal Prediction for LLMs Word-sequence entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:02.966003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:40:59.892093Z digest=sha256:ce306d54a514959b292f5f5ff0e664ac1b579368e951d180e6f5e94f621c5c7c

Observation 150c5405-8da7-4486-a075-d7bd8ae0bf93 · outbound

This paper cites SC on U : Selective conformal uncertainty in large language models.

TECP: Token-Entropy Conformal Prediction for LLMs SC on U : Selective conformal uncertainty in large language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:02.713173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:41:00.040641Z digest=sha256:5298eb834e4241d98b203ab940bb11b2e06ac20fad6461c434cd4eece74cfd01

Observation f0a6b351-9cda-40a8-908a-25eedb15d615 · outbound

This paper cites Pediatricsgpt: Large language models as chinese medical assistants for pediatric applications.

TECP: Token-Entropy Conformal Prediction for LLMs Pediatricsgpt: Large language models as chinese medical assistants for pediatric applications

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:41:02.424757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T13:41:00.151060Z digest=sha256:5be1395afd4d97d8c459cd702db5309444508ac1e5d1ef1413f9b5d3c76a2e2d

Observation d7cbc4b1-dc1e-4e49-939f-392ba0f360bf · outbound

This paper cites SPOT! Revisiting Video-Language Models for Event Understanding.

TECP: Token-Entropy Conformal Prediction for LLMs SPOT! Revisiting Video-Language Models for Event Understanding

Reference 34

Resolution
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no resolver link, observed 2026-08-05T13:41:00.257412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:41:00.257412Z digest=sha256:fb6a2d4755207d7da828ffe331e58de076871bc736e5bd1d6708fd188a071708

Observation d1fd8f18-3372-44b6-ae2e-58a8929f651d · outbound

This paper cites Hademif: Hallucination detection and mitigation in large language models.

TECP: Token-Entropy Conformal Prediction for LLMs Hademif: Hallucination detection and mitigation in large language models

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