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Paper Citation Record · LEDGER

TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.01018.

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

pith.paper-citation-record.v1
2204.01018 v1

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:05.526108Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:24:55.788573Z

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 771c62c1-f2e7-4a53-aedc-b111cfc00a7f · inbound

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs cites this paper.

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:05.526108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:05.526108Z digest=sha256:c09018047c3807f9ff1f9e0e9e88a8bd99d3ae34979a23a15661dfed6794ffc7

Observation 249a6e22-db5f-4a94-b3bf-afeb4c81ac55 · inbound

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously cites this paper.

Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T18:23:40.113299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:23:40.113299Z digest=sha256:b75b7e43eed4c9b63d8467ed94fc39fee4813bdfb9c50adecdc0139d46e7b88a

Observation 0ef59c24-cbd3-4af8-986f-5689011920a8 · inbound

Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting cites this paper.

Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-13T15:29:31.834566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:29:31.834566Z digest=sha256:5b9320bb3c3e6d8353eed63297369fb08b63b311bb52d623b7ad6dbf7ec504e7

Observation aa320b76-db6a-4cf0-82d2-21f43de77622 · inbound

The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping cites this paper.

The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:24:55.795302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T04:24:54.891710Z digest=sha256:79013874fd332008dd56c5bf1e638aeff19bd108963defd7059247547e8438a6