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Paper Citation Record · LEDGER

Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.01275.

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

pith.paper-citation-record.v1
2305.01275 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:01.149654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:55:05.831643Z

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 5ef4275e-0ee5-4b8e-812e-b84f14bc72ca · inbound

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors cites this paper.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:01.149654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:01.149654Z digest=sha256:586ec5042234d394897ba885c6174b5a325ce9dc4b2b69b18422d1b5ca4559e1

Observation 439be599-ec15-4692-8473-6372c79d06c3 · inbound

Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.

Weakly Supervised Segmentation as Semantic-Based Regularization Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:29:28.019666Z

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=2026-05-14T20:27:33.799271Z digest=sha256:3e9e17671eef91120b37254ab91e8eca863e96e7a74dc40c0b973f5f1fa83027

Observation bb0bbea5-482c-4dc3-9a23-200b77c9ff73 · inbound

Weakly Supervised Segmentation as Semantic-Based Regularization cites this paper.

Weakly Supervised Segmentation as Semantic-Based Regularization Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:55:05.833723Z

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=2026-06-30T21:52:28.980945Z digest=sha256:74146ca10dfe3af6f6e40496ced9f9332c8ace11b7bfea389a5da9d6039318b6

Observation a12417f5-afd3-4e2b-bb9e-80b3363d299e · inbound

Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity cites this paper.

Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T00:11:33.168015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:11:33.168015Z digest=sha256:4c618d2128c0cb0c6f20bb5b3e952849d5cb5aabbee6cc03ac53a9835e00df02