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Paper Citation Record · LEDGER

Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.03583.

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

pith.paper-citation-record.v1
2012.03583 v1

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:39:46.031491Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:17:36.347417Z

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 1d7bc65e-2e0c-4def-8ba5-186368fc1130 · inbound

On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image Classification cites this paper.

On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image Classification Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T15:12:35.896073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:12:35.896073Z digest=sha256:8ace72ad0555b7c192fb466263e31dac6d18083d68125ba13f87cdc7bc4f303a

Observation 9370c489-bee9-4ddc-94b3-56409d0ab0bc · inbound

Current Pathology Foundation Models are unrobust to Medical Center Differences cites this paper.

Current Pathology Foundation Models are unrobust to Medical Center Differences Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T00:58:22.298855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:58:22.298855Z digest=sha256:4dc1f96f56c585e85978db829ff7d4d4acabae22f2ed71bd808e5d729c7d824f

Observation 58153060-4dd8-447f-bf9b-bc1d1af72634 · inbound

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images cites this paper.

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T22:39:46.031491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:39:46.031491Z digest=sha256:225b74838c59c0773c9dd1f7ab3b650e7a6a48b0240f62a3450c8755ba6552a0

Observation 46b02d94-6720-4cd6-95ef-07007535a440 · inbound

Robustifying pathology foundation models via fine-tuning cites this paper.

Robustifying pathology foundation models via fine-tuning Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:31:20.395637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:31:20.395637Z digest=sha256:4b0d5e0abf3b167daca1767aa0d19624b8a0e22a8053b4d2c015a1085acb5cfa

Observation b37f971a-8d3a-4160-be81-0b9ee0d4408f · inbound

Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion cites this paper.

Understanding Synergistic Interactions among Pathology Foundation Models via Adaptive Fusion Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:17:36.398376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T00:17:34.258004Z digest=sha256:4bf9a192634920ec72c65ec393e76b6c2345bff063c385541a4bdb12b6fbb2ec