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Paper Citation Record · LEDGER

Mitigating Object Hallucination via Robust Local Perception Search

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.06729.

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

pith.paper-citation-record.v1
2506.06729 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:05.217109Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdcd7dd3-7a2e-4c16-965e-8cdac94d97e1 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Mitigating Object Hallucination via Robust Local Perception Search Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation b5c57eab-795c-4003-b5de-c86662a85f4a · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-07T05:53:57.937711Z digest=sha256:2efe2b9283c7abeb28d026166b1e7c0347740088a013ef5560bf89faeefdc927

Observation 4f7c900c-f570-4fee-b492-370d6ddb931e · outbound

This paper cites Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

Mitigating Object Hallucination via Robust Local Perception Search Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Reference 3

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source=arxiv_source observed=2026-08-07T05:53:58.107604Z digest=sha256:824a11e1fba37961e2acf4687161b49e6fed8573bbed161fec4effd1ae423633

Observation b4494509-4a9a-46ac-9f69-642a108ff2e3 · outbound

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

Mitigating Object Hallucination via Robust Local Perception Search HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 4

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Observation ddb35bd4-6e1e-4a3e-95e3-af6b678576f3 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Mitigating Object Hallucination via Robust Local Perception Search InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 5

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Observation d39f1b4b-062a-4184-b81e-7ed8a721595d · outbound

This paper cites ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time.

Mitigating Object Hallucination via Robust Local Perception Search ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

Reference 6

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Observation 9cd3c01f-6c9a-4de7-9a68-3105ac6d19a2 · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

Mitigating Object Hallucination via Robust Local Perception Search A Survey of Vision-Language Pre-Trained Models

Reference 7

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source=arxiv_source observed=2026-08-07T05:53:58.692319Z digest=sha256:20c98c4d4918581f91686a223ea5aac999b5597e66075dabd10125f4c6102029

Observation 7963371f-6f09-41bd-9ef6-c8fe5686bf06 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-07T05:53:58.841297Z digest=sha256:f88c2a73d1cdf23508c1650be1fa6503cd574630c0bdd67dc1b11bb4850b8d36

Observation faa2101a-7e86-4794-ae79-813cfdec8a38 · outbound

This paper cites MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs.

Mitigating Object Hallucination via Robust Local Perception Search MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Reference 9

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Observation 44e32d23-85a8-4e46-8bfd-b1dff39c91cd · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-07T05:53:59.207932Z digest=sha256:85b4327fb74be73c8c73a558b6e450116a3fd40249f0d9be2ca1c9260796359d

Observation 607e305a-dff2-48ea-88a0-6f85cfc71388 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 11

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Observation 945a80cc-7cd5-4569-b66f-aa5453f72b7a · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Object Hallucination via Robust Local Perception Search The Llama 3 Herd of Models

Reference 12

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source=arxiv_source observed=2026-08-07T05:53:59.506634Z digest=sha256:0aedf25a8057ad255873dc74034fab049ec26dc616225b255b43b69d5c10089e

Observation 97d93066-1527-4f8b-ac7a-f2e56eadac59 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-07T05:53:59.670281Z digest=sha256:dea54dd60c54164c2c270f39daaa6735c223e5e7798d0989a922a685acfdf336

Observation e9266238-cdb5-4028-8db9-a8b02f5be4f2 · outbound

This paper cites The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense.

Mitigating Object Hallucination via Robust Local Perception Search The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 14

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Observation 002e247a-063e-4506-a2cd-deda081739aa · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e94170cc-90ed-4f62-a47c-66e7c331db96 · outbound

This paper cites GPT-4o System Card.

Mitigating Object Hallucination via Robust Local Perception Search GPT-4o System Card

Reference 16

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Observation c0fa935c-da8d-4345-a357-1380e6a3b10c · outbound

This paper cites Evaluating Open-Domain Question Answering in the Era of Large Language Models.

Mitigating Object Hallucination via Robust Local Perception Search Evaluating Open-Domain Question Answering in the Era of Large Language Models

Reference 17

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Observation c7562227-5731-4fc5-a43b-48b60d6759a4 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ccd2dc17-2c8b-4ac8-86c6-e1a07dee75a6 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 915c4e06-27ad-42ee-a5b9-7262d7cbbab5 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Mitigating Object Hallucination via Robust Local Perception Search Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 20

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Observation f97b43e6-e0ca-4a7c-a6fc-5064c8eb94af · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Mitigating Object Hallucination via Robust Local Perception Search LLaVA-OneVision: Easy Visual Task Transfer

Reference 21

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Observation 335c4f3c-2f9a-4427-af96-c5f4390ccd8c · outbound

This paper cites Common 7B Language Models Already Possess Strong Math Capabilities.

Mitigating Object Hallucination via Robust Local Perception Search Common 7B Language Models Already Possess Strong Math Capabilities

Reference 22

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Observation 021d8da7-cc8a-4082-a1a4-f42b5a59e161 · outbound

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

Mitigating Object Hallucination via Robust Local Perception Search Evaluating Object Hallucination in Large Vision-Language Models

Reference 23

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Observation 105af7b3-0aea-444d-abc2-106a995ddcd7 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 24

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Observation b42b506e-7202-43ce-a3d6-39f4b30fd3ef · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Mitigating Object Hallucination via Robust Local Perception Search Improved Baselines with Visual Instruction Tuning

Reference 25

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Observation 6f463713-8f1c-4396-8d4d-2fc0cf206766 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 26

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Observation bc3dcc58-ff83-4a3d-af16-6fc35fedaf11 · outbound

This paper cites Inference-Time Language Model Alignment via Integrated Value Guidance.

Mitigating Object Hallucination via Robust Local Perception Search Inference-Time Language Model Alignment via Integrated Value Guidance

Reference 27

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Observation 8d666766-aa1c-461f-9930-358663c84b79 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 28

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Observation 1612fba7-31b4-40c0-bcc9-7b485a2fd61a · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 29

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Observation a957fa8c-c114-4042-9f65-1879927c714c · outbound

This paper cites MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.

Mitigating Object Hallucination via Robust Local Perception Search MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

Reference 30

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Observation c852bc5e-d90a-4530-8dc2-4d1d23b4fed7 · outbound

This paper cites Quantifying Generalization Complexity for Large Language Models.

Mitigating Object Hallucination via Robust Local Perception Search Quantifying Generalization Complexity for Large Language Models

Reference 31

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Observation 5784028a-b35f-4ab8-91bd-99bc530adc14 · outbound

This paper cites Object Hallucination in Image Captioning.

Mitigating Object Hallucination via Robust Local Perception Search Object Hallucination in Image Captioning

Reference 32

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Observation c2ab65f0-261f-450b-b8f4-14f10f78aac4 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation da20b018-3501-4653-933e-7e1e05e3c2f7 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Mitigating Object Hallucination via Robust Local Perception Search Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

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Observation 3a1d07ba-0b56-48e2-8706-4c12d995002d · outbound

This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.

Mitigating Object Hallucination via Robust Local Perception Search AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 35

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Observation 246c9b34-c7f0-4ca4-bee2-4043cdf08d90 · outbound

This paper cites Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension.

Mitigating Object Hallucination via Robust Local Perception Search Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension

Reference 36

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Observation 7a9771a0-0742-4fcc-93a0-1bf5df01b862 · outbound

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Mitigating Object Hallucination via Robust Local Perception Search Qwen2.5 Technical Report

Reference 37

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Observation 984b35a4-793d-40ca-89d7-c2ba67f7cd21 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 38

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T05:54:03.487559Z digest=sha256:ac6638772d61ab5d16ce213bb667a547680a43e97c88963c2b488e31b74f5c46

Observation cf03d328-6614-4812-9942-6988fa4739e2 · outbound

This paper cites Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

Mitigating Object Hallucination via Robust Local Perception Search Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd025866-4c0b-4594-a251-6f09b8e08d4a · outbound

This paper cites Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.

Mitigating Object Hallucination via Robust Local Perception Search Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:03.925130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:03.925130Z digest=sha256:d35e4475376457c1bdfd1f8fe7f19e00e930812d0dc39c0136e336f11d9e518c

Observation 0d4fba5b-3078-4fb1-b001-dd54150dcade · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:54:06.276004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T05:54:04.101449Z digest=sha256:f4f959eb8c821416edc42ede7b2523bf64063a70096283c3d8fe3ad8af92270d

Observation 4525be49-2258-4947-aec3-028bd6490ad0 · outbound

This paper cites an unresolved cited work.

Mitigating Object Hallucination via Robust Local Perception Search Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:54:06.087727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T05:54:04.300561Z digest=sha256:55de53efb566e3828110ae9ba1f8010c9810ef141089cbfe5ed352c79196c106

Observation 96adb74f-d8ab-44ad-b1ff-04424077e1d4 · outbound

This paper cites Calibrated Self-Rewarding Vision Language Models.

Mitigating Object Hallucination via Robust Local Perception Search Calibrated Self-Rewarding Vision Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:04.468873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:04.468873Z digest=sha256:c6f8d2ef37304c2cc639ea8bec5a4cbe90340939a4e4b678bda767e53f1f84f3

Observation 4de32054-9696-4871-b9cd-8e88b64be451 · outbound

This paper cites Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models.

Mitigating Object Hallucination via Robust Local Perception Search Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:04.689356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:04.689356Z digest=sha256:07a86eefe0ced2565ae53e69f87e282c7ea5200dacc41c3e46ee398272f9e882

Observation eff65eb1-3110-4276-b914-5af016c0d48e · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Mitigating Object Hallucination via Robust Local Perception Search MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:04.850929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:04.850929Z digest=sha256:689fcde0531fecef3dfb52ad09e9f7375bb971ecf707fa00aa7c5294d03fe199

Observation 5b990a66-71ca-4d72-950e-2a67e1c382a9 · outbound

This paper cites online" 'onlinestring :=.

Mitigating Object Hallucination via Robust Local Perception Search online" 'onlinestring :=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:05.061789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:05.061789Z digest=sha256:bd18d835e414eef17ea8b95377479198231f53cb76b6e94a93cb6c5e1554fb60

Observation 176d4280-385c-444e-a20f-aff3890c560a · outbound

This paper cites write newline.

Mitigating Object Hallucination via Robust Local Perception Search write newline

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:05.217109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:54:05.217109Z digest=sha256:64d377647a9d3690ddc4727020ce95067050ff23dbc55b00a7c476453f24ae95

Pith citing papers

No inbound Pith citation observations are available.