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Paper Citation Record · LEDGER

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.10081.

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

pith.paper-citation-record.v1
2311.10081 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:26.371851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.448685Z

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 4d3eb2f7-c950-4494-a759-bb835e6fe277 · inbound

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models cites this paper.

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:15:13.316925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T19:15:12.378496Z digest=sha256:f7f6c7e94dc11532c03da11af9f8a548a6aa7544f290c491d49c5f72fb3f77da

Observation 9519eda1-bd00-4a51-b2da-7a4555a3bfff · inbound

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders cites this paper.

AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:26.371851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:26.371851Z digest=sha256:e914cd6be226c09fb95de124b0647a1dc6b8b1d5bedad02d38d767d524b73894

Observation 6175e463-06b8-41b2-9762-63edfed1d777 · inbound

ESC: Emotional Self-Correction for Reliable Vision-Language Models cites this paper.

ESC: Emotional Self-Correction for Reliable Vision-Language Models DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:58.450299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T21:20:00.041277Z digest=sha256:1607ccab20ee9d59b898b88aa72a69497371a19b2b9556a9c371bc6b94faf563

Observation 5fae3157-4b5f-4e72-bb97-188145f8b5f4 · inbound

Securing Multimodal AI through Internal Information Decomposition cites this paper.

Securing Multimodal AI through Internal Information Decomposition DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T15:02:58.424519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:02:58.424519Z digest=sha256:a8a1bfa91329f47325735b6eed3849a858973215e52bfdd6632b99debbd965fd