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Paper Citation Record · LEDGER

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.19877.

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

pith.paper-citation-record.v1
2607.19877 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:31:11.157800Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 254c68df-d9cd-49ef-9249-3eaba91c86bb · outbound

This paper cites Segmamba-v2: Long-range sequential modeling mamba for general 3d medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Segmamba-v2: Long-range sequential modeling mamba for general 3d medical image segmentation,

Reference 1

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Observation ad71a505-4bf2-479c-a09d-3803308a10c5 · outbound

This paper cites Cqformer: Learning dynamics across slices in medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Cqformer: Learning dynamics across slices in medical image segmentation,

Reference 2

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Observation 89b8b5e7-8438-4595-9177-ea9ce7c1e8a5 · outbound

This paper cites Gm-abs: promptable generalist model drives active barely supervised training in specialist model for 3d medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Gm-abs: promptable generalist model drives active barely supervised training in specialist model for 3d medical image segmentation,

Reference 3

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Observation 6e80c89e-47aa-4464-96e9-d4a55d105786 · outbound

This paper cites Metassl: A general heterogeneous loss for semi-supervised medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Metassl: A general heterogeneous loss for semi-supervised medical image segmentation,

Reference 4

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Observation f073af58-3af8-4ceb-9a3f-199504d60e49 · outbound

This paper cites Unlocking the potential of ordinary classifier: Class-specific adversarial erasing frame- work for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Unlocking the potential of ordinary classifier: Class-specific adversarial erasing frame- work for weakly supervised semantic segmentation,

Reference 5

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Observation 652c1758-741b-42a4-abce-1cddc7b69f04 · outbound

This paper cites Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Anti-adversarially manipulated attributions for weakly and semi-supervised semantic segmentation,

Reference 6

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Observation 102137dc-5171-4b25-9eb7-a049a6317a67 · outbound

This paper cites Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation,

Reference 7

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Observation aab9b72e-c197-42d0-b59e-0623e3f8e2fe · outbound

This paper cites Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation,

Reference 8

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Observation af457773-301c-4c08-9ba4-c507b775dc7b · outbound

This paper cites Weakly supervised semantic segmentation by pixel-to-prototype contrast,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Weakly supervised semantic segmentation by pixel-to-prototype contrast,

Reference 9

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Observation fdaae1d9-02a4-4117-9a2c-a13602f92be8 · outbound

This paper cites Regional semantic contrast and aggregation for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Regional semantic contrast and aggregation for weakly supervised semantic segmentation,

Reference 10

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Observation 22cc2b37-11fb-4b35-b8b0-3c567690a25c · outbound

This paper cites Conditional diffusion models for weakly supervised medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Conditional diffusion models for weakly supervised medical image segmentation,

Reference 11

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Observation f15f4a32-c8cc-450b-a0a7-c9b64d0fea99 · outbound

This paper cites Segment anything,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Segment anything,

Reference 12

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Observation 5862b924-4694-4c73-985a-34d5da1d0bf0 · outbound

This paper cites Segment anything in medical images,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Segment anything in medical images,

Reference 13

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Observation ebc5cd04-f01c-4a6d-847c-2f31f2da794d · outbound

This paper cites Semantic-aware sam for point-prompted instance segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Semantic-aware sam for point-prompted instance segmentation,

Reference 14

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Observation a87d357c-c27a-4718-b2d9-b8b33f299ae6 · outbound

This paper cites Asam: Boosting segment anything model with adversarial tuning,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Asam: Boosting segment anything model with adversarial tuning,

Reference 15

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Observation 04115161-0e7c-4eca-8b4e-6d9b75c9a648 · outbound

This paper cites Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,

Reference 16

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Observation 7b5bdf54-aa10-4769-b252-d1f797293f43 · outbound

This paper cites Alps: An auto-labeling and pre-training scheme for remote sensing segmentation with segment anything model,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Alps: An auto-labeling and pre-training scheme for remote sensing segmentation with segment anything model,

Reference 17

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Observation 97c7982a-f870-42ba-9cd5-afa869948c97 · outbound

This paper cites Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation,

Reference 18

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Observation 4d9c23d1-ec1d-4334-8573-2f216433ee06 · outbound

This paper cites Clims: Cross language image matching for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Clims: Cross language image matching for weakly supervised semantic segmentation,

Reference 19

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Observation d6e25d57-310e-44ca-9aea-c52654423301 · outbound

This paper cites From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation,

Reference 20

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Observation d4d2c395-ffda-43d3-bfe5-89b010d0a1dd · outbound

This paper cites Foundation model assisted weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Foundation model assisted weakly supervised semantic segmentation,

Reference 21

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Observation d2259795-7243-46fd-9633-ab5e580a045b · outbound

This paper cites Towards training-free open- world segmentation via image prompt foundation models,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Towards training-free open- world segmentation via image prompt foundation models,

Reference 22

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Observation 4897889a-f8a6-4ce4-a38c-25451c0e1709 · outbound

This paper cites Conditional diffusion models for weakly supervised medical image segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Conditional diffusion models for weakly supervised medical image segmentation,

Reference 23

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Observation e236232f-e10e-424e-acc9-0cbefc97814c · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 24

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Observation 957526cd-0ca4-496b-adc8-312a0fb5faa1 · outbound

This paper cites Learning pixel-level semantic affinity with image- level supervision for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Learning pixel-level semantic affinity with image- level supervision for weakly supervised semantic segmentation,

Reference 25

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Observation 51f34e4e-bff4-42f2-9254-2c7d1d9410b8 · outbound

This paper cites Cian: Cross-image affinity net for weakly supervised semantic segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Cian: Cross-image affinity net for weakly supervised semantic segmentation,

Reference 26

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Observation 7a660820-c536-4d85-82db-e7fbf5b5e50f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 27

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Observation 6721fc13-bd89-48e6-b0cc-b64d12c49d01 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 28

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Observation 4bf2cd3f-1cad-4385-afd9-319298ddb8ed · outbound

This paper cites Vershynin,High-dimensional probability: An introduction with ap- plications in data science.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Vershynin,High-dimensional probability: An introduction with ap- plications in data science

Reference 29

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Observation 533ef400-20b0-4742-98c6-1fcc5968e55f · outbound

This paper cites Sam- med2d,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Sam- med2d,

Reference 30

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Observation d7a62b64-f0ab-440d-944f-06c5587aa45c · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 31

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Observation 9c4a1134-9b06-4ea3-b2a1-dde150ce43a6 · outbound

This paper cites Chaos challenge- combined (ct-mr) healthy abdominal organ segmentation,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Chaos challenge- combined (ct-mr) healthy abdominal organ segmentation,

Reference 32

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Observation baa7c0a0-9bfd-4ef8-a58a-3f1fe0cba99d · outbound

This paper cites The medical segmentation decathlon,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch The medical segmentation decathlon,

Reference 33

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Observation 85d1df79-0a56-4bf4-8055-55cb41271faa · outbound

This paper cites Diffusion models for medical anomaly detection,.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch Diffusion models for medical anomaly detection,

Reference 34

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Observation 8d7bdafb-cbef-46f9-bd50-8cad544e4fd7 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch SAM 3: Segment Anything with Concepts

Reference 35

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Observation 1da2d8fd-6d47-4647-83cb-1539456ce929 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

Robust Activation Map Rectification for Weakly Supervised Volumetric Segmentation: Temporal Coherence as a Free Lunch MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.