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Paper Citation Record · LEDGER

ASFormer: Transformer for Action Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.08568.

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

pith.paper-citation-record.v1
2110.08568 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:50:00.379412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.921879Z

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 f3c55c4a-fe90-4a8b-9ac9-3edf77ee97da · inbound

A Temporal Convolutional Network-Based Approach and a Benchmark Dataset for Colonoscopy Video Temporal Segmentation cites this paper.

A Temporal Convolutional Network-Based Approach and a Benchmark Dataset for Colonoscopy Video Temporal Segmentation ASFormer: Transformer for Action Segmentation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T04:50:00.379412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:50:00.379412Z digest=sha256:b7ca9996a1e3fc9f3fc53d4b756d416c89a74e08effd49698201d47dafe02736

Observation 8ead2873-a642-4d2b-b5a1-93ec1734d83d · inbound

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection cites this paper.

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection ASFormer: Transformer for Action Segmentation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T20:21:42.580680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:21:42.580680Z digest=sha256:15939ef64a78f04483d73c19676a0718fe74c6ac086686db37647fdd492bf964

Observation d2874032-be25-4aa6-bcbf-f35a1e4911fc · inbound

Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection cites this paper.

Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection ASFormer: Transformer for Action Segmentation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:03:10.832505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:03:10.832505Z digest=sha256:25bae5e7e669fed3e6604704a3b2e95a569cb21cf138d0cca7c2752d920ad2ec

Observation 780fb643-456a-427c-a702-bca8676cc720 · inbound

Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy cites this paper.

Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy ASFormer: Transformer for Action Segmentation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:09.576896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:18:01.061125Z digest=sha256:3434e67e4fc60d42209e998c2482b6ab3a6c84145e844cbb6e1c2ed0b34f090d

Observation c3cbde87-a41b-450d-8603-2331b95d7653 · inbound

Boundary-Centric Active Learning for Temporal Action Segmentation cites this paper.

Boundary-Centric Active Learning for Temporal Action Segmentation ASFormer: Transformer for Action Segmentation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.627097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:35:01.198645Z digest=sha256:d3f11f8dde6ec4d36fbb5260d71adf5dfa2283b1fbc27affca1cc167aa499065

Observation 63395c38-ffef-47cc-a739-f547212cd3a6 · inbound

HOI-aware Adaptive Network for Weakly-supervised Action Segmentation cites this paper.

HOI-aware Adaptive Network for Weakly-supervised Action Segmentation ASFormer: Transformer for Action Segmentation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:24.122455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T13:41:08.441066Z digest=sha256:b5fe7d615e8cd956b40c5daa8456f59bd84c14cabde1a0a760008248f11d5899

Observation abb13013-1891-42c9-aea6-d64e80cba111 · inbound

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning cites this paper.

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning ASFormer: Transformer for Action Segmentation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:05:59.309638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:16:07.719863Z digest=sha256:dcf5c7e352e4f31dda003b762095af320e042189485da6f7306fd5bae69f71fe

Observation 4f24f1a1-63c1-4daf-b518-729a621678e3 · inbound

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture cites this paper.

P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture ASFormer: Transformer for Action Segmentation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:29:44.923552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:50:10.781971Z digest=sha256:5ca23298d57a88a77766e45005610c4eb98040242b56de2e1cbb7d94a2d13aa5