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Paper Citation Record · LEDGER

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control

As of 4 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2604.10454.

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

pith.paper-citation-record.v1
2604.10454 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:35:49.575589Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:36:13.425803Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 984a2ee0-8de0-4935-bdfa-7bcbfa87bb56 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T10:11:04.164915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:c96b8aff93bab30978135e548e552e08a395666dc4e010db967e712c0ac05e26

Observation 14adf7f1-dbb3-474f-be97-4dc5bf312958 · outbound

This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:11:04.280660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:0a008af1f3e3b8b736b4cb31362c8e987639042320cbe6c31ace2701ddfb5bfe

Observation 2dc760e1-176d-421f-a6f0-0d0e94e157c5 · outbound

This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Guiding Instruction-based Image Editing via Multimodal Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:11:04.199727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:852fb5eb4a84978f39dcb14becb8c65e78880df61639b53d779c3634da4efd8d

Observation 85c49e51-37bc-4b8f-940d-a0caf8a08593 · outbound

This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:04.180347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:71d118289ec56c4b276178095f086af45d84cd4eb2539983bcf7dc8946b41a1e

Observation 14747e15-cf77-4a99-b788-b68552c68b8a · outbound

This paper cites InPro- ceedings of the 62nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), Lun-Wei Ku, Andre Martins, and Vivek Sriku- mar (Eds.).

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control InPro- ceedings of the 62nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), Lun-Wei Ku, Andre Martins, and Vivek Sriku- mar (Eds.)

Reference 5

Resolution
metadata mismatch
doi, observed 2026-05-10T15:40:34.572122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:38daa259b8ffb8a938f220c11aed7e26a2ee7379d856b3110ad37131275c1bf7

Observation f8710c42-a865-4ce1-9090-e0f63006bebf · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Step1X-Edit: A Practical Framework for General Image Editing

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:36:42.350422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:3ab55bdd59f43d4bd0c758c4c953f7cd13975c3f07b13f8df11301fe3f39bbca

Observation a73d0db0-8f46-4155-8408-d0bde337dcd5 · outbound

This paper cites Null-text Inversion for Editing Real Images using Guided Diffusion Models.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Null-text Inversion for Editing Real Images using Guided Diffusion Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:04.157079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:99151bba149bc6516a73613087a112afd928a380e7090800f3f975f6c1487fa2

Observation 8d78f439-df44-485b-9068-b4d42f4ca1e2 · outbound

This paper cites Qwen3 Technical Report.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Qwen3 Technical Report

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:11:04.191184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:da8ae36df2452882f7da7f7eadffe11ee9b522a3af7a6a5102aedcaf0ea59632

Observation 2e80d05a-68f4-4e28-8f5f-e15db5bd8618 · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T10:11:04.299361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:1ae6fb11d2c55bdfcebde2476d3402cd3a4c1653ac6e988c24f729eafbc5eb30

Observation b589182d-3755-45b1-b653-434356f5b82e · outbound

This paper cites Improving multimodal sentiment analysis via modality optimization and dynamic primary modality selection.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Improving multimodal sentiment analysis via modality optimization and dynamic primary modality selection

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:04.222817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:07504d0831656f4c19af9d05b0fd784ab9773caeea80ce5c0b94d4b836bad092

Observation 5586d9e5-532c-4506-9c4e-e62fd319766b · outbound

This paper cites ImgEdit: A Unified Image Editing Dataset and Benchmark.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control ImgEdit: A Unified Image Editing Dataset and Benchmark

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T18:17:45.693018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:2ef9698786d564f5271a9e7d4e70645e7ef987463ce6737a1e551b6adcdd891e

Observation 506cb868-b1e4-4bc4-9579-1f81f9ec53ac · outbound

This paper cites Mag- icbrush: A manually annotated dataset for instruction- guided image editing.

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control Mag- icbrush: A manually annotated dataset for instruction- guided image editing

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:11:04.324442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:c09d3f2181e5a28c4ca1843bb213c27c28c839b6f98fe96504eb5cde82a50567

Pith citing papers

Observation 653eee37-a3b4-4629-897f-21b6fcd5b787 · inbound

What Can I Edit? Open-Ended Strategy Discovery and the Emotion Editability Landscape cites this paper.

What Can I Edit? Open-Ended Strategy Discovery and the Emotion Editability Landscape AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T23:36:13.425803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:36:13.425803Z digest=sha256:4f68148533b2ccf7018ba78e98a6968c5e8574d700e53149c9dce76f1c104f10