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Paper Citation Record · LEDGER

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2509.09700.

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

pith.paper-citation-record.v1
2509.09700 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:18:03.013155Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:43:38.513913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:48:25.080874Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved22
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89e406b5-4220-4d19-9f54-9d93a61812df · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.790841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.790841Z digest=sha256:fdfc6cb0c7af11b201c430b01e4814e4e0c12b5b72328e1d67155dfd3dacf9fe

Observation 078de8d0-dab1-499b-aa4b-f86f33a1792c · outbound

This paper cites Azaria, T.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Azaria, T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.954584Z

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.

source=pdf_text observed=2026-08-05T10:18:02.799193Z digest=sha256:8da3c5856d73d16e49e0296399b52f7c9fdaa94846e9c51f36d3e698da67068d

Observation 0965d9b4-8212-4343-8f0a-c922e0bfc76c · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Discovering Latent Knowledge in Language Models Without Supervision

Reference 3

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unresolved
no resolver link, observed 2026-08-05T10:18:02.808211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.808211Z digest=sha256:15b5d86130f9ad9954bbba958bf1a3989c1cb1c9f7b601570014e060e1c3766b

Observation e1cf9210-6bf4-4e86-a391-dd25e1719528 · outbound

This paper cites Chuang, Y.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Chuang, Y

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.930193Z

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.

source=pdf_text observed=2026-08-05T10:18:02.817293Z digest=sha256:aea5e5a0657b5e10d7ddbcc665fbd2f71a0a4481955348120707e6c48eacf7d2

Observation 2670c726-987f-4ed8-8af3-93e785f3022c · outbound

This paper cites an unresolved cited work.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:18:03.902751Z

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.

source=pdf_text observed=2026-08-05T10:18:02.824087Z digest=sha256:eb069a18f917209ac11a6c7ba627f55a727fb737806e3f91daf94bc6a0221faf

Observation df783cd7-6595-45a2-b069-0b3b5a67f333 · outbound

This paper cites OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.832737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.832737Z digest=sha256:93948d7dd460bf0c45e1db81f04b243553d1a7b792c5b5ff508f11bcb3f91971

Observation 4a119de6-50cd-4e99-99c7-afc651771e63 · outbound

This paper cites Schuster, A.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Schuster, A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.875487Z

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.

source=pdf_text observed=2026-08-05T10:18:02.840328Z digest=sha256:b6cced0fbcacbabe75c8093b490781cc314cb3d4f3bb003dba2120b3e503b653

Observation 69c57f49-615b-4a09-a67e-bd11ffd42451 · outbound

This paper cites an unresolved cited work.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-08-05T10:18:02.846764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.846764Z digest=sha256:5518318f9abd69aac31e75128513f2a743e4a8758e0c13c7f47edcf450c4ae2f

Observation be0e62f0-d756-4b93-8509-83a3a2d58523 · outbound

This paper cites (Im)possibility of Automated Hallucination Detection in Large Language Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection (Im)possibility of Automated Hallucination Detection in Large Language Models

Reference 9

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unresolved
no resolver link, observed 2026-08-05T10:18:02.852796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.852796Z digest=sha256:770f4a3659cfca70810958eed7a00b1a784eff986fa79a2623b474871d2d018f

Observation c7a59973-0b85-4bd4-a207-a0d1a7d8b88d · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 10

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unresolved
no resolver link, observed 2026-08-05T10:18:02.861730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.861730Z digest=sha256:69a439656c1f44ea0e5cd1fa70705ffe15b1c1624a2607284d276d08fe8ac39a

Observation 07457250-3932-43d0-93c1-d55cecb01e60 · outbound

This paper cites Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 11

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unresolved
no resolver link, observed 2026-08-05T10:18:02.871590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.871590Z digest=sha256:3c1ccbde7668278bd329154c4bd4d954d007c4987ba6440501bc768bac0f750a

Observation ff9985bf-5cb7-4e9c-93ff-e82ef06e04a8 · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.879922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.879922Z digest=sha256:e2b842fcb5acc3ddcdaf930cc9c21eb95f2d3278491635cc346276ecd89dd561

Observation ea63953e-c58c-4eb8-88eb-c2ca0ff39fe8 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.889771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.889771Z digest=sha256:8f7cc8cf6e9b9ecb8915f514c6fe4f8afee03a8ac369a6656ae4947bb43dfb1b

Observation 4d49d178-842a-48ca-a33d-fe9448477e12 · outbound

This paper cites Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.896356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.896356Z digest=sha256:1f5110b674ec42f4746645a11fb1cb66874759dacf33707552376414fa992e51

Observation 6956f1f2-a413-47c6-b66d-e2a60c5e3751 · outbound

This paper cites an unresolved cited work.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:18:03.842683Z

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.

source=pdf_text observed=2026-08-05T10:18:02.902808Z digest=sha256:2bc853011f545fbfeef95ccab67862aef49a412467043993ba2b2cbe1e7dab57

Observation 268f2d80-62fd-46b3-8267-7d1350656dd7 · outbound

This paper cites Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.907557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.907557Z digest=sha256:8635584bc4c5e811804315f912ea37b40f3ff58b2b64401673d29b5637b1cddf

Observation 161ccff6-46a6-4a6c-a7d9-3472fb4a3f57 · outbound

This paper cites Yuksekgonul, V.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Yuksekgonul, V

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.811022Z

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.

source=pdf_text observed=2026-08-05T10:18:02.912731Z digest=sha256:11beafbc77b36811639c8b29d69bba8a062af687a012f7c5ea84fdc47e90eb17

Observation 0eff0418-16bb-4f73-8d70-dafc4425e5f5 · outbound

This paper cites Ferrando, O.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Ferrando, O

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.774594Z

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.

source=pdf_text observed=2026-08-05T10:18:02.918392Z digest=sha256:2c9dd7864b68bae946489d9cddf65bf4f0063f7713c01c68bc89034bd055f5ea

Observation f48755fa-982b-4132-ab65-5572f9a8c64b · outbound

This paper cites Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Reference 19

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unresolved
no resolver link, observed 2026-08-05T10:18:02.924719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.924719Z digest=sha256:32186fcfef27edee1292f51c595334c66a2301488e3cbb245525c7158fbc548a

Observation e4c08c60-a4ca-4684-a8bd-85b317bed101 · outbound

This paper cites Lee, M.-W.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Lee, M.-W

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.931792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.931792Z digest=sha256:e7f1c59cca359f6136bdea23844519457f0c4ba985386206d119a78a044b33b6

Observation 6e66da9b-21cb-4b6e-bf72-964b36b95743 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 21

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unresolved
no resolver link, observed 2026-08-05T10:18:02.939311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.939311Z digest=sha256:58dd674bd0952adcb860e58595cb15e53e3e2f6b7a6ec03d54854e6b75091e7e

Observation f230f4fe-fb97-4b1b-9390-fdf752c5bac1 · outbound

This paper cites an unresolved cited work.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T10:18:03.740242Z

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.

source=pdf_text observed=2026-08-05T10:18:02.947996Z digest=sha256:c9843b42d46d5a15ec6731672d31a171d0ba12ce183d8a0c339a8ea0407dd440

Observation 6b23def9-9002-4629-93cf-1c0ce58e2c43 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection LLaMA: Open and Efficient Foundation Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.960209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.960209Z digest=sha256:1bd82457a05a5fced41aa6acfa35a970516148f48243092c77a1e00e28c73650

Observation af7c1f90-9234-4b67-b3aa-cee092451b8f · outbound

This paper cites Taori, I.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Taori, I

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.702311Z

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.

source=pdf_text observed=2026-08-05T10:18:02.968599Z digest=sha256:9f6e7400e10f15e96835d0c925eb783c9780b54673b5d22b43f3bbd970ff3f18

Observation 149b7e71-f5e8-41cf-997a-f832cbae06ff · outbound

This paper cites Chiang, Z.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Chiang, Z

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:18:03.678299Z

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.

source=pdf_text observed=2026-08-05T10:18:02.978674Z digest=sha256:9bf23695f23a0412807d2aa818efe3f08cbc65e27195ab0fb1bd5d430ffc5970

Observation 50d9406d-d1de-4c5b-9c91-1607c1c23490 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Gemma: Open Models Based on Gemini Research and Technology

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.985357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.985357Z digest=sha256:5d68b0d0cfb33ed27ac1a7a972834790da9e8950ad2481b6e8782f9115f4ef76

Observation d9c8e338-ebcd-46d9-aca8-2662368671d4 · outbound

This paper cites The Llama 3 Herd of Models.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection The Llama 3 Herd of Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:02.992660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:02.992660Z digest=sha256:5c17e039b7eb959448c90b1a06afddf6417852682210fc08bd2bae0be943ce8b

Observation 653e8318-34e4-4fec-8c59-2f4ef8f0611e · outbound

This paper cites Vrandečić, M.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Vrandečić, M

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:03.000208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:03.000208Z digest=sha256:08e491ea4e497591f2de66dd2e59a3e284d5f0ae108b9aa0aacf471f78c57c90

Observation 06e4afbb-23f9-4cf9-bc94-2b5b54c013d5 · outbound

This paper cites CH-Wang, B.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection CH-Wang, B

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T10:18:03.005498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:18:03.005498Z digest=sha256:112e1bcb0eb350ad5f29747554ba57f60c49f3f16a6061570dd47ff3fc4cc473

Observation f2582016-7b78-4239-b225-20f863c27176 · outbound

This paper cites I don’t know.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection I don’t know

Reference 30

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T10:18:03.656881Z

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.

source=pdf_text observed=2026-08-05T10:18:03.013155Z digest=sha256:cbb5c1285236427d95dcdaa10d7cac5839e36a5f989b1ff70ebb46d1fd350637

Pith citing papers

Observation d04b108e-7495-4320-a448-95198497e4ae · inbound

Steering the Verifiability of Multimodal AI Hallucinations cites this paper.

Steering the Verifiability of Multimodal AI Hallucinations Cross-Layer Attention Probing for Fine-Grained Hallucination Detection

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:50.402282Z

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.

source=pdf_text observed=2026-05-10T18:19:45.405698Z digest=sha256:9f60565a6d21068a927efbda3537eebff128aa3ec7eae382d6fd432432c4563f

Observation 7374c7e4-1a9b-465c-8946-07c00b97e1ca · inbound

Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs cites this paper.

Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs Cross-Layer Attention Probing for Fine-Grained Hallucination Detection

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:48:25.082519Z

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.

source=arxiv_source observed=2026-05-15T00:43:38.513913Z digest=sha256:d61ae06cf627ad6ef9c9b51b4d040fc0b5b949d534192a0abfaa0316ed2536e1