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Paper Citation Record · LEDGER

Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17331.

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

pith.paper-citation-record.v1
2311.17331 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:52:22.811857Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.607311Z

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 6e1aeea7-fa77-42ae-8027-6044fedb3aa0 · inbound

PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models cites this paper.

PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:00:27.214470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-21T17:57:57.263574Z digest=sha256:1cd10f61b3e1b9ad8130d2187c41d1162566c71eb23149b29ab109291b6c4135

Observation 06a0c621-e31c-4825-bcdb-9decbc40f0b8 · inbound

Streaming Interventions: Can Video Large Language Models Correct Mistakes as They Occur? cites this paper.

Streaming Interventions: Can Video Large Language Models Correct Mistakes as They Occur? Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.608833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-06-27T16:52:22.811857Z digest=sha256:3f8bc9a5de6a4f5faf77b35441861c4e25416d5403f41d8e7cf5f2b0c65496a3