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Paper Citation Record · LEDGER

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis

As of 5 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.04755.

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

pith.paper-citation-record.v1
2607.04755 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T14:02:54.437694Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

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  • verified fuzzy0
  • unresolved15
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dac6af8d-c471-404f-9ad9-0bf855ff28e3 · outbound

This paper cites Data-efficient and weakly supervised computational pathol- ogy on whole-slide images,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Data-efficient and weakly supervised computational pathol- ogy on whole-slide images,

Reference 1

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:0c1d3fd4a11d48795d8743588142351c8d68865eedb11ad4bc92c95a9866b9f3

Observation 29600b55-ec0f-4bda-9561-88a751fd16b5 · outbound

This paper cites A federated learning system for histopathology image analysis with an orchestral stain- normalization gan,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis A federated learning system for histopathology image analysis with an orchestral stain- normalization gan,

Reference 2

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:d59cf4350224fa285bb0a665c5062f22744b4103c0496a132c321f9f1f3e7b63

Observation 66174dc8-7ff0-42a9-9631-0973e7ea1e29 · outbound

This paper cites Transfer without forgetting,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Transfer without forgetting,

Reference 3

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:4e8a03000694afcee4908863d3d3182761321bb31150512b8dddb3698edc30df

Observation 309a973c-8df6-4c30-b0a9-c5ad877fa286 · outbound

This paper cites Dark experience for general continual learning: A strong, simple baseline,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Dark experience for general continual learning: A strong, simple baseline,

Reference 4

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:3f2a1d17eea8eda79261b2a35aaa1ef0c1d5fa99c956633d5296c639530a08b8

Observation 457f8a83-2e6b-4c2b-abe6-35ce58e6eb67 · outbound

This paper cites Editing Models with Task Arithmetic.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Editing Models with Task Arithmetic

Reference 5

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:b9ccf7fe8579e360b701bc8e38ea26cbeb22c59b69b98e1210696907f2d697cb

Observation 09385bd3-609a-49be-83d8-4dba7066c1c9 · outbound

This paper cites Ties-merging: Resolving interference when merging models,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Ties-merging: Resolving interference when merging models,

Reference 6

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:a5bfeda5254f8bc1174135462d8992f671877ceb43290e7bb8041733d3915c86

Observation 5113cafd-c7e8-400c-8510-4273a37937cd · outbound

This paper cites Mergeslide: Continual model merging and task-to-class prompt-aligned inference for lifelong learning on whole slide images,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Mergeslide: Continual model merging and task-to-class prompt-aligned inference for lifelong learning on whole slide images,

Reference 7

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:bea1e38608c49c0a9149aae998c7209842b8ece41cb796560d36cef4f7ccecc6

Observation 1c90579b-c908-4bbc-a34f-fbcf49f332d7 · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learn- ing,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Adamerging: Adaptive model merging for multi-task learn- ing,

Reference 8

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:c973a51f624ca0ea3b56d61fe7d80a489a37a993a1b719dd2d3827a5862ed4fd

Observation b9b90c0f-7fa6-42c4-a4b1-a18b1b84eb4d · outbound

This paper cites Adarank: Adaptive rank pruning for enhanced model merging,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Adarank: Adaptive rank pruning for enhanced model merging,

Reference 9

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:d22430b8f080930a51bdc14f9bfe84ce0a1f5fbf5a4e9a955c19d2204fbadd36

Observation 56d8264a-7a56-428c-a38c-030a82034d8e · outbound

This paper cites Hi- erarchical adaptive networks with task vectors for test-time adaptation,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Hi- erarchical adaptive networks with task vectors for test-time adaptation,

Reference 10

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:544c17efe644d2e492790462eb12909ec7cf622beabe3e0c1f5863d44f8be7fb

Observation 906e8d92-70ce-4e70-9374-24b7bfc09287 · outbound

This paper cites Overcoming catastrophic forgetting in neural net- works,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Overcoming catastrophic forgetting in neural net- works,

Reference 11

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:280e945dec56f10aeab8068eb6378a486de12838dc7d6ddebe650cb05d85b696

Observation 6376142e-5a26-48ca-b199-bb0e782acf85 · outbound

This paper cites Learning without forgetting,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Learning without forgetting,

Reference 12

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:24c5d136c3725513e79a343271b021b5018f3fdb1ad18d771a012b5c8cb78301

Observation a581bdc7-f133-4f5c-bcea-721b6b6d084c · outbound

This paper cites A multimodal whole-slide foundation model for pathology,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis A multimodal whole-slide foundation model for pathology,

Reference 13

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:38ad030687b790cc56c158e8b7047d0d6d09edc1783d8591fb328192ae577b99

Observation 074d3d97-2605-4a1e-9d10-60d8e3fce6f3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Decoupled Weight Decay Regularization

Reference 14

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:932cc43e41354b016e7d3a0c63f7230de72fee969b92d0b13ebf7b8f5307aeaf

Observation bedc205f-b53a-41b0-a351-1f7ae6002615 · outbound

This paper cites Robust whole slide image analysis for cervical cancer screening using deep learning,.

Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis Robust whole slide image analysis for cervical cancer screening using deep learning,

Reference 15

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source=pdf_text observed=2026-07-11T14:02:54.437694Z digest=sha256:4586c45b8823543cd04292a51be4cdf7716b70b7d3c53cbb6f5cd6c8eee76e88

Pith citing papers

No inbound Pith citation observations are available.