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Paper Citation Record · LEDGER

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:51f485ee142049fbe0c0328d05932d1819f43321a47c20e98e57b2e5bfba8ad3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T10:22:28.096542Z digest=sha256:db51ef2e343356809e973d52a2909a2ef5471772590857b732a24d24dcead088

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:29:49.018621Z digest=sha256:c94bfa781b50140aea6f7d9f47bcfb26a88d1bfd5e16c55c5cbb7770f54ecc48

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T02:31:56.483055Z digest=sha256:ad4e3dfe7594b9369080ba67e22b10c13c86eabcedf6a014316c6a69e85c456c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:40:47.471970Z digest=sha256:c918f049924c90f3d5f00dee08734f49e640fd2f5700f2f771d2ab5579453e56

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T05:26:15.556205Z digest=sha256:5172a384a00610e21cf3a807ce9aeb9d39fcb43b824cb6de4d0c96890400e532

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:31:47.046404Z digest=sha256:aa8b9ae43ee1c593827a8903a3a2e89191cb64d8d464a09de886a5e600cbbf6a