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Paper Citation Record · LEDGER

BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.09590.

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

pith.paper-citation-record.v1
2503.09590 v2

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:41.423639Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:57:25.603501Z

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 3ac6fee9-ec53-406f-b2b4-f7c2e83cff95 · inbound

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation cites this paper.

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:34:41.423639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:41.423639Z digest=sha256:535f239435de597351f2bb5bb930117752667c88595c56452a8a153f3c4eb652

Observation eaa67c7e-0c46-4022-aae0-986774e0a664 · inbound

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding cites this paper.

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:02.288427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:52:02.288427Z digest=sha256:ce3840f2ab348b6f9d437a6401c3c3dccebb147a9c25787a7a7977508f3a3210

Observation ada452eb-d963-4838-8da9-cf70e5235c73 · inbound

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T04:49:38.487988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:49:38.487988Z digest=sha256:94772121466a238b37959cfb157aeac452ac1d331d7b87ddca125fdf5bfbdf44

Observation 216b2807-3758-4696-ba53-a971cdc435d6 · inbound

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:02:46.732042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:57:38.477065Z digest=sha256:364a64cc3c0ad047be794c227e52eb3afc8a6c0803aa93c45fb35eb6c420aaa9

Observation ea3486dd-d18d-476a-bbf8-8f46747c6d6e · inbound

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence BIMBA: Selective-Scan Compression for Long-Range Video Question Answering

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:57:25.604947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T22:53:35.213874Z digest=sha256:34366d37dc026d9ea4db5d214855d15a7998883d0706de0e11cab1a96861192a