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Paper Citation Record · LEDGER

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model

As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.04472.

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

pith.paper-citation-record.v1
2508.04472 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:04:33.385686Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38fa4ede-de7b-4634-9918-0cfa2e2b0769 · outbound

This paper cites inappropriateness.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model inappropriateness

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.956210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:32.942080Z digest=sha256:c5bcdf1e6e81237650c3c0402e5ef619efada06c13ccf04bd5b3152d9913ab27

Observation 5aef5f45-0039-40ff-9d45-6f36f34d530e · outbound

This paper cites explicitly.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model explicitly

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.783161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:33.011987Z digest=sha256:34ba993fb6bef7188e7e0795e76305994451a656f8cab3748a8f1b82b8f9c827

Observation 74d3a421-b701-4239-93a9-2f6db949b9a3 · outbound

This paper cites GPT-4o System Card.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model GPT-4o System Card

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.157566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.157566Z digest=sha256:f5f8a70f6545f3c055d89b5f39a5f47dc14685d5be9af7ab9bd4ea14ccb90ca9

Observation 0a85b122-2d3f-4446-9d47-f6cb91d34eba · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Ablating concepts in text-to-image diffusion models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.221986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.221986Z digest=sha256:4f6fc4dfd1f3e7f7c19fee49dbe22be915bbca244e9fbd66b712a2d7e88c83b3

Observation 5e28f2d4-e2e1-46a2-a19d-d269670b676c · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.410648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.410648Z digest=sha256:4885f5c33527642b9a2d3268859357f1cf2aafbe6406af4b290b93ec8f81a5b2

Observation 90b66d53-051e-443c-8811-51c3df87e4ca · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Red-Teaming the Stable Diffusion Safety Filter

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.495158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.495158Z digest=sha256:e96d3fc2677e26b6dd9d524ac871e57bf6b52b566e8efcae957049d17f0d26b7

Observation 8438cec5-f06b-4d43-af8d-f7f99d007544 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.555623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.555623Z digest=sha256:d74b0f3520b6fc2f00bc6eecbdaf0bec84adc0e3587ff2888e9ffcb91cd9f113

Observation cc35b63b-2086-48cf-80ed-abda10d1cfd5 · outbound

This paper cites Ai art generators hit with copyright suit over artists’ images.Bloomberg Law.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Ai art generators hit with copyright suit over artists’ images.Bloomberg Law

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:35.010474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:32.624123Z digest=sha256:0b4f29c6529d82d799654a0d5b5ec1340732a755db2870562f229fa69bcbfcde

Observation f3358937-ade9-465e-965a-757547cebbf5 · outbound

This paper cites Precise parameter localization for textual generation in diffusion models.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Precise parameter localization for textual generation in diffusion models

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-06T00:04:33.673400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:32.708765Z digest=sha256:6de5f0850d4d1d8defb0d305217429f99e36b724eb6ddfe8252a4b52d07c9cd1

Observation 0846d15f-5415-43d6-b121-052f2950a36a · outbound

This paper cites SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.749794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.749794Z digest=sha256:84c5c500fb18046191addb0c0e2244f7cea68c8563b4c52019d9cdd719621de5

Observation fecf627d-9ca0-4a19-aa00-9b2fde895117 · outbound

This paper cites 3 is non-zero in general, i.e., for almost all X ̸= Y.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model 3 is non-zero in general, i.e., for almost all X ̸= Y

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:35.002342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:32.893182Z digest=sha256:f4668213a4537826d1f5254700ac65a5e6104fd5a2574eff574b0387e21b7b83

Observation 5c54cca7-61bf-486d-a9f5-89f6660f5604 · outbound

This paper cites (b) More qualitative results for implicit nudity erasure.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model (b) More qualitative results for implicit nudity erasure

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.562351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:33.119217Z digest=sha256:e8d505562c19e2d4c83950d18a704ec474d4708617989be0a871fd2b09220eba

Observation 2a432c78-2739-4860-9598-3b557c861d69 · outbound

This paper cites We used the official diffusers implementation of Ablating Concepts (AC) Kumari et al.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model We used the official diffusers implementation of Ablating Concepts (AC) Kumari et al

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.340630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:33.197381Z digest=sha256:10eca2e7d183471c90a9bb8324c348132bd5dca99469ce85be539ad4939cd8fc

Observation 34780de4-24fc-4401-b3f2-7b4e51c2fc4f · outbound

This paper cites (2018), anchor CLIP Radford et al.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model (2018), anchor CLIP Radford et al

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.236187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:33.276114Z digest=sha256:1bf31ae386f9da1073dad7b335d53f1bc4a4c0c4059ba0dea90fa612204a6101

Observation bd00ceb1-e61e-411a-8187-4c2f1f819b29 · outbound

This paper cites Pikachu”, “Minions.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Pikachu”, “Minions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.068072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T00:04:33.385686Z digest=sha256:5507f00735719185fae1c1990d0955931e6c8fd7c1a30a9bd2b2f46e1910c723

Observation f48d25c0-f060-4fb6-8667-026af24bb107 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.371883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.371883Z digest=sha256:6f9954d965077db961674d67da31fa7aa3a80732077623277d236f5a2a55ec33

Observation 67112434-b72d-4562-a2f5-1f22bf336414 · outbound

This paper cites Demystifying MMD GANs.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Demystifying MMD GANs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.018102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.018102Z digest=sha256:6b96a074c8985210289e8355889a84b13fde5b9be794792a2a8a823a15739ece

Observation 7235f01d-ba09-49de-a38a-6496680f10d2 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.077010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.077010Z digest=sha256:7b47533b78a0fba89d21c3ced9efdc78a2e52f4c4c1896a5dfe13613651b6982

Observation 2c517ff5-5419-457a-a318-b2c96d8ae3b0 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.821331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.821331Z digest=sha256:6779862d6567eb8081a898770dd727ef1888fe7d56c0fe29f7edba1d1100eba3

Observation 1168686a-667c-4a85-a212-e8700a9c67fe · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.288783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.288783Z digest=sha256:7efb851c276d7e1f2f8172b27133a331754108de9aad09f37e79643f0dc7e235

Pith citing papers

No inbound Pith citation observations are available.