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Paper Citation Record · LEDGER

General Facial Representation Learning in a Visual-Linguistic Manner

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2112.03109.

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

pith.paper-citation-record.v1
2112.03109 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:03:32.448615Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:02:15.307489Z

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 2c61a09f-6c3c-4880-8614-a2f1378701f8 · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models General Facial Representation Learning in a Visual-Linguistic Manner

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:22:17.481554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T14:22:16.968028Z digest=sha256:28f75b7afe9cafaaa81f4aa8e2d8d0879835162d4877055f47cdf487f21fa365

Observation 2b206f8f-2945-4869-89a7-83c09299183d · inbound

CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing cites this paper.

CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing General Facial Representation Learning in a Visual-Linguistic Manner

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T13:03:32.448615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:03:32.448615Z digest=sha256:be9ce768b8a3ef2f998be50bfcbdade52b4fff50dd8747e7c3c0b39c6d38ca49

Observation d148cd06-8cc3-43f1-9761-96a44de51864 · inbound

Reference-Guided Identity Preserving Face Restoration cites this paper.

Reference-Guided Identity Preserving Face Restoration General Facial Representation Learning in a Visual-Linguistic Manner

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:25:58.259640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:25:58.259640Z digest=sha256:1c1d3652149509f4747f1cb41e70c04d3fe2ca6a9a3b770094239de5afb753f2

Observation 508548e4-2864-4080-932e-87e7c0789f0b · inbound

PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing cites this paper.

PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing General Facial Representation Learning in a Visual-Linguistic Manner

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:02:15.310739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T01:01:36.452125Z digest=sha256:b57a1d465975d8c2d35cd68ad773ad9e56b433d5c10eee5a06066d231e34304f

Observation ea0476ab-e678-4780-810a-7b123c9f4cbf · inbound

GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning cites this paper.

GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning General Facial Representation Learning in a Visual-Linguistic Manner

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:19.727272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T16:42:20.868389Z digest=sha256:369531efdcf28e14016b7ce9ca78ed1025919ae6e2393ec9ee19a03042dda1a9