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Paper Citation Record · LEDGER

DeepLab2: A TensorFlow Library for Deep Labeling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.09748.

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

pith.paper-citation-record.v1
2106.09748 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:19.177700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:46:14.622598Z

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 b1037b82-3de1-47fc-9765-66c178026e6b · inbound

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features cites this paper.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features DeepLab2: A TensorFlow Library for Deep Labeling

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:19.177700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:19.177700Z digest=sha256:bae533f304ee41a3692e0f27327e3a0fd0bbe8dbdd3d892c73fbf35a7d835f6d

Observation d2f7e49c-dd70-4293-a18c-9ce725e06972 · inbound

HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis cites this paper.

HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis DeepLab2: A TensorFlow Library for Deep Labeling

Reference 217

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:46:14.624413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T01:39:01.852776Z digest=sha256:417d275bdbfe54664e65cb6e672a40b5e373eb3a1a246c13abdc8099f50d371f