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Paper Citation Record · LEDGER

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:0085d8d3f645c7c95552e419d4ad123728f2edc974219b3a9c8b35dc6805b34c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.799193Z digest=sha256:26d910cca06cbd980d74d150d69557a976d034f92434056137d549f12ea2ab5a

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:d2ef81e6606dc0525e9b86aacc54f7e8eaa74e2cf77ddc3092bd87c4cd96e783

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.817293Z digest=sha256:e77e813b62b7f67fbe2c2457881b80e98e2799229a696f5d6c8ddb81cf85c0d5

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.824087Z digest=sha256:615684d30923d348857795d2eaf3aa1174025454638d28ba1e2f6f23cc09f3c1

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=sha256:75c1fc5b085877a279ac0f125bc9972aa7b4377da607f8f58a7bdd6193948f79

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.840328Z digest=sha256:4202156a8a710411f0f71ad6e2b1bf281d60613427c2dee48af1f611e59a15c2

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:c9d9c9315cfd331bd8e9d66346b73aeb5df9223aefcd2681025967f0857d3401

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=sha256:0d7773b91eba6874ca17d0499a51330f37463c68a58574028a0ac7a41bbda079

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=sha256:161cb92d87e0edf334f8746be9f33b888651ac0fe1c47ceaa5e4ebf9950c38b4

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

Resolution
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=sha256:77606d25b890a7f2de2c3aa575b0cfd128edc8de8af3aefb0dd7e1c3fb01f00a

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=sha256:001d8aea38705b9129d3592e3f64ecd6459b1cda42223a8b7a12a4a4cc3a9341

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=sha256:6aa5eba85a50c9e73b2780f2b7264680c2d13b896e033c432588cc360c86541a

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=sha256:099cd6ba7a039b9697e3efca41c7e20b7bfe9a47b57e0b3ed3933e4ac8ed9e8d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.902808Z digest=sha256:19307cbfa1cdf9963be13c5748e65183e72357c88c3eb7e783a0162eaa9d1e6f

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=sha256:0fa22a0c31aefe819a28c2cdb1b63edc32786cec52286ecc8f5dfa7caa36d84e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.912731Z digest=sha256:138e9b7b267664227dfca36d9d133d6422ba8626a2223e4d4464d95871e49288

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.918392Z digest=sha256:a11097ffe6324b8c5dc86438d674b788107217c03611bfff4948c9bc8227706c

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:ccff77ebcc7a7f6f2b3425ff4e1b512914d5d1cfe39bca69b267c021e026fcb2

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:ef9b4857b17d2f781057b91d9df894034378623659301d7f7e20631d0a47e56b

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

Resolution
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=sha256:469ee66343bcdb025df538ff5f3f132a958ab46d10334595cbf43f564f0dcddb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.947996Z digest=sha256:9afa768ab8210af47eb47db9a6d293f3dab136ae0a93e27b810ba58003b2af30

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=sha256:9a93bf139d0849425e9eded7cfdce75af79c94b60ce5c34f635d8e982e642ddd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.968599Z digest=sha256:de6d3fc5eea2cc7e714aa0d6ada1ba96086419043e896455d4f79a36dda250b1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:02.978674Z digest=sha256:644457f956c2a3fd2ad8ced0bd044e7b70818d43b0ab9520d007a5cf39263333

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=sha256:64c8de2f08c727d3508fd4ae2cd4f53e1ff3dea18e57871f4db4b34052b9362a

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=sha256:84bfa1ee21cb62e09bb809b071ac72530f9819c3f640ff93b4ef8b8e2a449e08

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:e97bf50c47834909b11254d8dab6c3e936b60fd5a837a086a75a5e831c5d8369

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=sha256:94cdb7f7e48c4287bf8e2bc6e62e83176abdb45e99fd01a01e3eff05e609571e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T10:18:03.013155Z digest=sha256:b1f9f866d85bc9eea562a6bc33fbd5b60d151295ef2a815fa2c466294044712c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:19:45.405698Z digest=sha256:8a8760bd919d0b63123f7ccc3f59e0679002d48d580445f50240486c1f104165

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T00:43:38.513913Z digest=sha256:2e92795bac6037ba2fd8d716f83880ee9274ef98744870890cbd9691c44f9011