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Paper Citation Record · LEDGER

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.12206.

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

pith.paper-citation-record.v1
2212.12206 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:45:24.503488Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:16.766323Z

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 6fcb3073-1c04-49dd-b180-5b20897cd90e · inbound

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference cites this paper.

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:24.503488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:24.503488Z digest=sha256:139fd8e5e39526f094265356f81ff3d383185f46ce4db3db1229fe3c868420b6

Observation f6409be9-f38a-4b61-996d-0398b0619153 · inbound

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension cites this paper.

Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:22:33.178062Z

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=pdf_text observed=2026-05-18T10:22:28.096542Z digest=sha256:ce9c7bb8951b4ceb709d58a6775139d79b0076bf3dfbbaa42907f89ce9565b99

Observation fe8f73e0-d650-4684-9122-14f90f4ea5be · inbound

How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse cites this paper.

How Label Imbalance Shapes Geometry: A General Spectral Analysis of Multi-Label Neural Collapse Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:50:26.794148Z

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=2026-05-08T19:29:49.018621Z digest=sha256:dd0f782235f3d45d289823cde6f17a74ee49162ff0f767cbf3b97d7f9f7eab0f

Observation 1e908115-86b0-4977-8652-e4fb98212703 · inbound

Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets cites this paper.

Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:32:06.122458Z

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=2026-05-13T02:31:56.483055Z digest=sha256:04278e924856afc12cd05ca4bb5c334cc6a6f3810b199ee41179a7936c6fbb13

Observation d2275ae4-a046-4b56-82bd-e0e303d70007 · inbound

Bayesian Model Merging cites this paper.

Bayesian Model Merging Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:57.917803Z

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=pdf_text observed=2026-05-14T20:40:47.471970Z digest=sha256:e3ca05bf84e0ea7ceb8f2c27e9be47e1e3534c148ea14e1c989f175908a8323d

Observation 8c423110-c111-4b29-8216-eb0b085324f8 · inbound

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes cites this paper.

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:26:38.754684Z

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=2026-05-25T05:26:15.556205Z digest=sha256:52c8831b023ff36a104485d1e3e256c22924a30c30f6856cd836c41a35a696b4

Observation df4556d1-5029-412e-938f-01579005cacc · inbound

When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes cites this paper.

When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:16.768149Z

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=pdf_text observed=2026-06-28T15:31:47.046404Z digest=sha256:0f2ede14a3eac1256fc61e070c6bc482cb7eaad2c81266df5a4c048b3dc82100