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Paper Citation Record · LEDGER

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2502.04870.

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

pith.paper-citation-record.v1
2502.04870 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:13:06.788207Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

18 of 18 outbound references displayed

  • verified exact4
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bb5516e-e6e6-4d09-b973-58ac651c2061 · outbound

This paper cites 10” and “17.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation 10” and “17

Reference 2

Resolution
malformed identifier
arxiv_id_nonexistent, observed 2026-08-08T21:13:07.099419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.743444Z digest=sha256:38036c9e9c11931e31260cd46fc1e845ea68fe3ccbecb98887ee438784d9275d

Observation 5fb30d4a-66c6-4ca2-92bc-149a5560993c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Imagenet: A large-scale hierarchical image database

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.636261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.636261Z digest=sha256:cf3b8dd20d8384e650b13a21a3b01d0772d0674b0237fe8990016ee47456cb4e

Observation 6dd311f9-7305-44aa-81a3-c7cfb443c11c · outbound

This paper cites NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:13:07.366999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.665109Z digest=sha256:e2a720bd2cf287ea66af7aad593997bddfa05d9620b9a6209be52cd90485729f

Observation 4776919d-ec90-4d00-9541-eec7a587c34e · outbound

This paper cites Recent Advances of Continual Learning in Computer Vision: An Overview.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Recent Advances of Continual Learning in Computer Vision: An Overview

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.678708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.678708Z digest=sha256:9c31a1a71921dac2242d861e8dee1518c9860aed7bec9ede2b34bd921858ece0

Observation cc4e596b-f647-4725-aff7-c9e03e775550 · outbound

This paper cites an unresolved cited work.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.689951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.689951Z digest=sha256:dce7547448d37cd0d647adc1e9a797cf1b58f23696b1ae06460ae56b1c122f27

Observation ce5ee648-e7c6-48ad-8d0b-2cf6a7371c22 · outbound

This paper cites an unresolved cited work.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-08T21:13:07.471873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.788207Z digest=sha256:b5881fce2e11bbfcccf2a9558745c80e260a6616de9eb5e6079091809ddc36cd

Observation 4d2f7242-5baf-4a17-856d-931efb313928 · outbound

This paper cites Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.709404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.709404Z digest=sha256:988b8db032322209279cb7531be324308bee0cf182e0f7b80031dbbe056dec7b

Observation 4b05d81a-82cb-45c1-be52-f6283ef0aebe · outbound

This paper cites Adaptive Prototype Replay for Class Incremental Semantic Segmentation.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Adaptive Prototype Replay for Class Incremental Semantic Segmentation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:13:07.146672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.727266Z digest=sha256:cc05dc8bfa4371a2e1cfc8ffc75b10c40ad0720de75e3f0cb718b2f8d1dd9bb9

Observation 153f3ff4-c2de-4f91-9831-aaf6dd98a195 · outbound

This paper cites cow” and “horse.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation cow” and “horse

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:13:07.577469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.736651Z digest=sha256:76b096442cc8eeba7a43e7d10093ca816a06e342898c5f8db03f4778236a6b2a

Observation 7bf7782f-b797-43a4-938e-b8f8d5ae3ce5 · outbound

This paper cites We set image size=512x512, epochs=50, and batch size=16 in training and image size=512x512 for inference test.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation We set image size=512x512, epochs=50, and batch size=16 in training and image size=512x512 for inference test

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:13:07.553974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.753806Z digest=sha256:5a1bc09f9d2cdd6d05fcf8539a9ef286fb08597b2c6b109bdc6cc324cbbf5199

Observation 8aa99ca8-eebf-44f5-b1b0-0caf260a8d65 · outbound

This paper cites Additionally, similar to the results in the overlap setting, IPSeg exhibits a strong ability to learn new classes while retaining knowledge of the old classes.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Additionally, similar to the results in the overlap setting, IPSeg exhibits a strong ability to learn new classes while retaining knowledge of the old classes

Reference 17

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T21:13:07.499663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.780796Z digest=sha256:3d467e0f24636537c3edea0bcc70ba3addb4f055841b8166177d4824803e3a67

Observation 7ebe52ab-cc4f-4131-86d0-95e40df7f64d · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Podnet: Pooled outputs distillation for small-tasks incremental learning

Reference 2009

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:13:07.665049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.656195Z digest=sha256:38289610024c0952d0cb89035f2a8d4086c2b1dee60af085f1c76b98928b7405

Observation 4ee8d6de-9228-4cb5-af60-b87a5c683267 · outbound

This paper cites cow” and “horse.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation cow” and “horse

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:13:07.528352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.764965Z digest=sha256:391cf1ca23d444727496aa2f3dfedb94e88e4d341fc88f43c65cd7a4d2390692

Observation d7fd3b9f-5335-465e-a4c9-b039a8487a8c · outbound

This paper cites L., Yang, Q., and Li, L.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation L., Yang, Q., and Li, L

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T21:13:07.612573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.700016Z digest=sha256:12e1b5fa1a4a4f8a23524d03cae2e64fc058538108a3bf8456b823de6e866724

Observation 83c0bd9b-8061-49ca-bd34-9a4a4aab0602 · outbound

This paper cites Continual Learning of Natural Language Processing Tasks: A Survey.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Continual Learning of Natural Language Processing Tasks: A Survey

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.671421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.671421Z digest=sha256:bb9a3308469f3aa87ad3deae3ec4fc0981b9dc813b1b07ddfad0d6756070b400

Observation e6a43945-1156-47e4-881c-338c183168f6 · outbound

This paper cites DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

Reference 2021

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:13:07.442413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.612854Z digest=sha256:6ac39bc662d6f62b42c71540320dc467582679516d63abe9cc51c99393747792

Observation 41545c72-ba6f-40f8-bdb8-880f2b353118 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T21:13:06.622840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:13:06.622840Z digest=sha256:dd1606d02480480ea7ec3a69617aa1d4ee7320f035b8ecc0892407ed2c6e58bf

Observation a5e764c7-fdcb-48f3-b973-65f2801b938d · outbound

This paper cites A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application.

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-08T21:13:07.193942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T21:13:06.718122Z digest=sha256:b61f5e7f2cfafba1897f7330eaed16043c209f906aedfa016a1d71bb90a3c82f

Pith citing papers

No inbound Pith citation observations are available.