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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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:c766533c118dcfb21507b1c107cff11fde7d2f8cc60579987e6d803d21b0813d

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=sha256:8be3159b91a27a5fbb1d577966563f47f8314364fcdd3703e33bae9f5f1be407

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=sha256:72a2c9bb6f66aa66bfcfca56b3205395215bbe0f575135b88c619b8e102e1714

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:c8aa77c64439b1db4196a42560fee20acda9ed4d2343fc69c1bd515c50a80e8d

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:a72025ec975766b9871d3030d73443af077ac333608bcfb4dd75445d7148378a

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:c2a4afb6167cb978a861bcb5c8b6533a661908acfbbcb58677ff63d4f8d4977c

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=sha256:917c38579938ef1a0857e0c4abf70a859c0122af1d247d4fe1c361c82a804bd5

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=sha256:3d775322784e3575127f963877d570495569b4396da57c6f6ba01c7a1b478b03

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:e1b225a012d6826a89f247a8782c3ea62c2c71f0cb3773bd2326cddd4f68ea35

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=sha256:10c1995a81142836ebf79eab1a43d75aa452d7fa210644fd706c03c18e7dd541

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:dff1dc247aa8dad94d2f36058ea2c89e660a6b49064ae7bec000747ce9485567

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=sha256:8dc37b56120260f705761fb84299d1bc24dd8177ad55e4a6a5a185f71e05f790

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=sha256:70ac13f139dcd8a5bb1d07feb4d3333b54862492bf124f77ba3e9172668bd26a

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=sha256:19024a267e20fcd48a9a9b59da822018cde3a3cc178929bff739910e7565341b

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:d4fd626d5b9d86d703de37c0d609eb78985bf692f296a00512e7a004981e0b4a

Pith citing papers

No inbound Pith citation observations are available.