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Paper Citation Record · LEDGER

ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.10702.

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

pith.paper-citation-record.v1
2103.10702 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:22:09.378744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:56:11.095700Z

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 32c0b484-7485-47e2-9499-ad076704a651 · inbound

EventRR: Event Referential Reasoning for Referring Video Object Segmentation cites this paper.

EventRR: Event Referential Reasoning for Referring Video Object Segmentation ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T22:22:09.378744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:22:09.378744Z digest=sha256:27ceb9d10c7a170ea92a258c31d241e4ad9cae6415ce44f3687f7008a0082f1a

Observation 7bcd3b88-eacf-43f8-b6b4-314966595b28 · inbound

Weakly-Supervised Referring Video Object Segmentation through Text Supervision cites this paper.

Weakly-Supervised Referring Video Object Segmentation through Text Supervision ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.097504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:54:33.227975Z digest=sha256:afcf33feee8caa29870bada6a2cec7774758a627a6694862cc31aae9c0a85987