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Paper Citation Record · LEDGER

Big Transfer (BiT): General Visual Representation Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1912.11370.

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

pith.paper-citation-record.v1
1912.11370 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:14.300309Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:07.800049Z

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 d371130b-334c-4585-b00b-6bebe8e1ead5 · inbound

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows cites this paper.

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Big Transfer (BiT): General Visual Representation Learning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:27:56.858381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T19:27:56.785857Z digest=sha256:05b5d4e8993b3d28a038e5ce4c7aac56929d36b02e8b79b7cc42bce6031d2bf7

Observation 8378e823-52a4-41e8-ae91-90238dadc7c4 · inbound

Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision Big Transfer (BiT): General Visual Representation Learning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:38:09.523670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T09:38:09.427509Z digest=sha256:a4b9634af9e34561ee76204ce738eceb62ce77c3c9708b4cade83125671a6380

Observation dce1b15a-f16e-4d4f-bc1d-4c0df5f58dcb · inbound

Health AI Developer Foundations cites this paper.

Health AI Developer Foundations Big Transfer (BiT): General Visual Representation Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:30:51.276467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:30:51.276467Z digest=sha256:8aeb7070eadfd576039d37635221920348708d313407a53f93514c9ee25f3436

Observation 773aac6f-b4d3-4018-8c5b-7f62c6f7e949 · inbound

Learning Structured Representations with Hyperbolic Embeddings cites this paper.

Learning Structured Representations with Hyperbolic Embeddings Big Transfer (BiT): General Visual Representation Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T04:51:40.492021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:51:40.492021Z digest=sha256:6abf2bec3ac4964d649d07de529638a7866bce4d8395922ba3e826c795d9113b

Observation 355d0117-e67d-4551-b675-01b44ae1aae9 · inbound

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm cites this paper.

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm Big Transfer (BiT): General Visual Representation Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T13:37:13.183201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:37:13.183201Z digest=sha256:859364f36944a257d6b0ebf57a5ff91518390d7132347e2fcd51d9a1e7312954

Observation 56bb8656-7aef-4d52-a2da-44ba0384e5a4 · inbound

Model alignment using inter-modal bridges cites this paper.

Model alignment using inter-modal bridges Big Transfer (BiT): General Visual Representation Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:14.300309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:14.300309Z digest=sha256:c75f66ce010419c091f29f61463c3bf66ca4aedfae18085130056ceb55a17de1

Observation 4d1962e9-77e7-4320-8ddd-65a345c5c553 · inbound

SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training cites this paper.

SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training Big Transfer (BiT): General Visual Representation Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:40.523882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:40.523882Z digest=sha256:4e39899fcaf210db96b974dec11ce9a1cf3da5eeeef0bf52c78b7b89ac592a55

Observation c8b6a632-3410-4767-827d-dd64e7199589 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data Big Transfer (BiT): General Visual Representation Learning

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:03.485892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:03.485892Z digest=sha256:d3dd0fed276292cea9bccca62e81f1a6ffd2f08f3b6026f7e03740d0a8a1f303

Observation 08626f7e-872c-47cf-a7f2-217dad63cc48 · inbound

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations cites this paper.

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations Big Transfer (BiT): General Visual Representation Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:49:34.635944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T23:49:14.083998Z digest=sha256:03351c3902b089627db29c9b18dda6d31be1ffec8e3891ffac596e513b459034

Observation 22dc1a7d-afd0-46df-8d5f-03411ba59683 · inbound

A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognition cites this paper.

A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognition Big Transfer (BiT): General Visual Representation Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:38:14.489184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T11:37:25.398160Z digest=sha256:4242d2816c59af227747cdb902798a64fd29c7982f503d91b3be330820973e26

Observation c52cf928-67e0-4c38-a52c-5712c190e8cc · inbound

DexHoldem: Playing Texas Hold'em with Dexterous Embodied System cites this paper.

DexHoldem: Playing Texas Hold'em with Dexterous Embodied System Big Transfer (BiT): General Visual Representation Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:43:11.100092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T09:38:43.801252Z digest=sha256:0843ff4d2608a745893beffaa14a67d12bd0f4fe4f556f760e1d6a7d1276ca88

Observation ada3ead5-2a7e-4f17-bac4-177b5f756753 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Big Transfer (BiT): General Visual Representation Learning

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:30:07.801783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-25T20:05:09.179627Z digest=sha256:dedd8a3c3fd3b6213af972a75793e42d308ada3754ea0ddfe8108a5ebf368971

Observation 9bd8405a-ca76-4302-ac4f-d21f8fa950e4 · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Big Transfer (BiT): General Visual Representation Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T10:14:08.001132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:14:08.001132Z digest=sha256:75857443aa2a3fe9bb4c58ebb77bc5b57e32f8507ba250d40210a3a7d71e0efb