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Paper Citation Record · LEDGER

Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.11850.

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

pith.paper-citation-record.v1
2207.11850 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:28.675601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:35:47.681682Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2a75ddbc-1da3-4c8d-8227-4c24124d7133 · inbound

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:51:13.191009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:51:13.191009Z digest=sha256:3dab73b53317b91d65144560affa183b42077d5a8ae9a49d87e8d269caafe2a0

Observation 967f71ad-ffc5-4072-81cf-0af5825df8ad · inbound

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models cites this paper.

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:28.675601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:28.675601Z digest=sha256:8d78cee392613094933cd05ebfadfe863bf576d1efa3952396f1055e0ec892c7

Observation bacf0714-b51f-4601-9341-91d53d0f710b · inbound

Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.

Mitigating Object Hallucinations via Sentence-Level Early Intervention Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:35:32.529585Z

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=pdf_text observed=2026-05-25T08:31:24.173135Z digest=sha256:2a82f265ebbe90a3ad8ba9afefdeab35e3f7d4adc0cc1f1b12c22e0246d69845

Observation e3972d95-2157-445d-bbd9-82ee65603346 · inbound

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens cites this paper.

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.504382Z

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=pdf_text observed=2026-05-21T05:07:12.965100Z digest=sha256:8340706a7f761a6f9a7e623c122e63be9a75083721902adbe17c82fd7d2dd856

Observation 834cbbd1-28d1-43c8-9dc0-39971280d57b · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:47.683418Z

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=pdf_text observed=2026-06-30T01:22:16.176398Z digest=sha256:3c88aed3efd4582aabc4dddf2480030faaee6d79114fd3c1a84def15622612ed