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Paper Citation Record · LEDGER

Disentangling Semantic Attention from Structural Bias in the Attention Manifold

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.24017.

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

pith.paper-citation-record.v1
2607.24017 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:19:56.727294Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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

measured 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

42 of 42 outbound references displayed

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  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcbbae54-f5ea-49c7-ab25-d7a9a2435818 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:51.610949Z digest=sha256:6c695b69531053bbb85ef5f1579e04f76d9c9be736449277a8047bc40704860c

Observation 4bf6eab4-2e43-4130-896b-4ae3261cbc84 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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source=pdf_text observed=2026-07-31T23:19:51.757431Z digest=sha256:3e26767edea686d5991bbc6e74e443fbd93b3b2a1afeda2539b3dd32bd0a86fe

Observation 639b0ca8-5e91-43ad-9ba2-7c9fe52aeeca · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:51.917459Z digest=sha256:8df8f22f20e4fbd05a5704195e816d4044b4f96db228e7db0110b258de52c43c

Observation 5e3dad8e-7b06-4c9b-9c26-7d33b7704c13 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 4

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source=pdf_text observed=2026-07-31T23:19:52.014036Z digest=sha256:a4efbdad7eb36f2ff93c9e98419b06c69158558448af3b3740a79329cd43657b

Observation 66284fa2-b401-4c8a-8410-63d5e72936d5 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:52.115543Z digest=sha256:e2a748c32e7245f7f682bc91e5707a078c9d1c8cf99e54f7540fe952fb3a5773

Observation c2bc0aef-8811-4bfa-8bd7-8439189dfe63 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 6

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source=pdf_text observed=2026-07-31T23:19:52.304791Z digest=sha256:5e3a2b0b3c43fd865686dccdd6aa8262255e6de0706355ca94febabd7559c70d

Observation b746ed46-c114-4852-a1b3-c57ab38e042e · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-31T23:19:52.423178Z digest=sha256:2229e3f21c20e1a71f61148ad7aca563a641f50fd17762318d35a7f7e31596d8

Observation d857c25d-fbf0-465e-b660-d607c4ee6e39 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 8

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source=pdf_text observed=2026-07-31T23:19:52.494189Z digest=sha256:f9dfd7c1d8170489de5bdc6f1f100bd30f293dfc1779824b00a0ccd96504afe4

Observation 277af1a6-702c-43e2-8e07-5bc37bbd3ca2 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 9

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source=pdf_text observed=2026-07-31T23:19:52.686164Z digest=sha256:70aeae9250bd527a5c982efb11b77b73a1b6b35d5dd23f8a8640bc872d6c6e1c

Observation 4e9c1dde-7315-4f3b-931b-c243c0c567a2 · outbound

This paper cites InPro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold InPro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 10

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source=pdf_text observed=2026-07-31T23:19:52.570296Z digest=sha256:599eebe974ae7a99688b074350f115a7c89d23ee6aa18e720e4123101e00f9d7

Observation de200dc2-58e0-4cee-bad8-702364f0cb4d · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-31T23:19:52.998097Z digest=sha256:283bae1979600d55c6179a15bd4941f6983113946e094b3b50a401c279a932e2

Observation c78679cb-52b5-46c7-b8f2-bdf620cbb3f7 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:52.827615Z digest=sha256:688ef1cf2ada218dd9c34967d5052a27b331331cc9c6f5e6e2835807ae6c866a

Observation 8891e1c3-a5d1-4243-8217-141da1f77a6a · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-31T23:19:53.361940Z digest=sha256:a74f486cd93ac35d618fb01b62789be8a305937d8ece778ca25fb85a3a070af6

Observation c8d3f0e1-79b5-4fdf-a2bd-ac8b51ae3f9e · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:53.107317Z digest=sha256:bea161ac04435bbf09c89e3d43deeba3aa5ccaf53f3d66dc1fb07e8d229aa002

Observation 36b00679-491c-4827-aab2-7c3fe63507a0 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-31T23:19:53.661592Z digest=sha256:225e9231eb907bc849efb9cb18b1e085b1d57c5d959d5ec982c960a391415d9f

Observation 6fee7247-0b5d-444f-8f02-2abf718079c8 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-31T23:19:53.844677Z digest=sha256:a58fe540c34bbb0f236afe38a517dc5d7f07c116444248b8eb3e8cbce7ecf1b8

Observation 06cc21ac-bc86-4893-bd85-60d5439737ca · outbound

This paper cites Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Reference 17

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source=pdf_text observed=2026-07-31T23:19:53.486772Z digest=sha256:ce39781c83821eb45125a8d5c27c946238d56f9b606eb2f79f5f804fca067c3b

Observation b1495e24-33a0-46ed-b75d-ba9f9a74e5e6 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:54.180103Z digest=sha256:b434d4614f08007b672392d8061b23482bd15f836029b6a528fc8a4d312bd734

Observation 452b726f-b381-47fd-b444-643906681fbb · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 19

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source=pdf_text observed=2026-07-31T23:19:54.293716Z digest=sha256:dc4a84f4fdaa21dbf41dbc92ee88f93342417fda1dc21c10f67a0302b9f295ae

Observation a81cdcf6-d365-4c86-8537-cfd8d3bc6f2d · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-31T23:19:53.999143Z digest=sha256:d9f0919894603268053633fb0dce1bc2b95cd4eb8288329cedcc76efc42bccc2

Observation e01a84e2-223e-4b9d-90d7-5847b6abf148 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-31T23:19:54.535836Z digest=sha256:b02213c29f1fb5a61749e5815d89f0fec4cfd457d11af5cb4bbb7b1d830b7c38

Observation 1a4de52a-0aff-45b0-9606-0187eba36584 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-31T23:19:54.648271Z digest=sha256:8030118b7c645bdf064b367066acd13d34d6b93c6fbc1463857952f23980a1b4

Observation 0ff385ca-e3e4-4294-bb3d-0ac890252cc3 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:54.386737Z digest=sha256:3991caa3b9f4f3f0fb2cd4adecc1d3445190837fe2b76b63f9507cb57f41af77

Observation 9fe2bd38-7bb6-4cd8-87c1-85cac3f02436 · outbound

This paper cites 2008.Pólya urn models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold 2008.Pólya urn models

Reference 24

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source=pdf_text observed=2026-07-31T23:19:54.906985Z digest=sha256:a8a9c4652dc7589ae6216224a5960d34b1d302f4852283cc29ac1f2169280c2c

Observation ed379f1e-006a-4fda-887b-faef1b2908b6 · outbound

This paper cites Object Hallucination in Image Captioning.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Object Hallucination in Image Captioning

Reference 25

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source=pdf_text observed=2026-07-31T23:19:55.028375Z digest=sha256:9ba91b6e80012558d289d2a80552180d546cfcc67573783b6f2d0749fdf342f4

Observation 834e41d3-9774-4511-900e-ca2615ee28e5 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:55.097814Z digest=sha256:0e22e883001e776ff9f0cbb1b25eb393957574838a732e52cc58f250c4e06191

Observation 2bcba424-c6f9-475e-b049-9648d26ba094 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:54.802690Z digest=sha256:d86cbf7c2f373c7b051eaa6f89f34a868a6ab4414e0aa88ce079ae1f7ded67b3

Observation 268ce4e0-8fa0-4949-a2c4-f89b355eb95a · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:55.334597Z digest=sha256:f9e43f5bebd865760fe0f3a53520946e38734057604814319fb790f8b63b52fa

Observation 14b41048-687d-4c9e-92aa-7d9ab696a1f5 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:55.468365Z digest=sha256:949752b451252f4c31d29d69bedf4f58ec3eb46468925d61218851557d6eafd1

Observation 3b239e49-df4a-4aeb-92f3-5bd34ab9d73b · outbound

This paper cites ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

Reference 30

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source=pdf_text observed=2026-07-31T23:19:55.558166Z digest=sha256:5557295f789740167017ce51418c554e2b3aa8c6841d6d41ac5dca56cfdfd639

Observation ab3df262-3e7b-4923-8d76-dc5181365ec9 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 31

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source=pdf_text observed=2026-07-31T23:19:55.240936Z digest=sha256:664e80d6c6c6d94337c9b5c775e0db7bd2a8690c01c9d3e17ceedc17335f8f0c

Observation 89c7c641-3637-4388-9eae-c244885e5f86 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 32

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source=pdf_text observed=2026-07-31T23:19:55.700297Z digest=sha256:09d94613b01c60dceb642fd3ca3b1737e1d164f393c624430070cbfac56a4cc8

Observation 36699f1b-e60b-4c67-80d1-6593a86451bf · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:55.785764Z digest=sha256:a7a598518f2f23f31b5b234dce4025e52959332c971130b19e983902c9befd2e

Observation 8e15eaa9-dcff-48a0-b49c-a9ca4a1e6f10 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:55.961340Z digest=sha256:11ec9059df6690a76713c0a0cc2628f3f39c9355a74aad5fb6643ac90643ddf4

Observation b5c31d93-bbe9-4e8e-9481-22d00aa42bdb · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 35

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source=pdf_text observed=2026-07-31T23:19:55.631449Z digest=sha256:de94f0b7df552dd2e78d5d4a6d74b9b1241b26725a8f64828ec58d3a97e1959a

Observation f3aee896-5da1-48c9-a052-b9ff516eb564 · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 36

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no resolver link, observed 2026-07-31T23:19:56.321752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:56.321752Z digest=sha256:172f164ca22a652ce7d90539f3117cdf23b97e1444a3a563602ab96f88b04c43

Observation 5b317ae7-5227-4125-b0dd-1c10529d783d · outbound

This paper cites an unresolved cited work.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Unresolved cited work

Reference 37

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no resolver link, observed 2026-07-31T23:19:56.550665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:56.550665Z digest=sha256:823264bd268ac432bbfd1cb3c5fa223b8f773f535dadc22216f3685a7fdce65b

Observation ae5a6af0-ccec-41c8-99a8-962d15077477 · outbound

This paper cites Softpick: No Attention Sink, No Massive Activations with Rectified Softmax.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Softpick: No Attention Sink, No Massive Activations with Rectified Softmax

Reference 38

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no resolver link, observed 2026-07-31T23:19:56.727294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:56.727294Z digest=sha256:2a96de2768c03adaff42d181be83c94a547ee4c6a3200f136789938093cf1876

Observation 9132ab38-a4d7-415c-a9d1-22346fd44ec7 · outbound

This paper cites Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

Reference 39

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no resolver link, observed 2026-07-31T23:19:56.163706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:19:56.163706Z digest=sha256:7daa309d622bd9dd6b68aa449284285cfbed73c82470c21f7af8d2d75242f38a

Observation 8c217371-3592-4aa9-be4c-7a43565ee529 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Evaluating Object Hallucination in Large Vision-Language Models

Reference 2023

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no resolver link, observed 2026-07-31T23:19:54.471173Z

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source=pdf_text observed=2026-07-31T23:19:54.471173Z digest=sha256:13d510e37f636fab98467c0aa71feddc2d0d8a5e6f92e3f67e070648106d0c00

Observation 80a979e4-7781-4dff-81b4-ff7834e381b6 · outbound

This paper cites HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 2024

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unresolved
no resolver link, observed 2026-07-31T23:19:52.209961Z

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source=pdf_text observed=2026-07-31T23:19:52.209961Z digest=sha256:2361fccac3e524d66fd88058595f81b64b757d9849d60b1e394f0a268a4deaa1

Observation b12b490f-9d1b-4307-8c06-86156f6aceeb · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2025

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no resolver link, observed 2026-07-31T23:19:53.281720Z

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Pith citing papers

No inbound Pith citation observations are available.