Paper Citation Record · LEDGER

Object Placement for Anything

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2504.12029.

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

pith.paper-citation-record.v1
2504.12029 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:34.973310Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy18
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e2ae6d8-f1c5-4b22-8b1a-56d428bf7201 · outbound

This paper cites Making images real again: A comprehensive survey on deep image composition.,.

Object Placement for Anything Making images real again: A comprehensive survey on deep image composition.,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:34.613010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc4f86c-1654-428b-80b5-aabf0a962b3b · outbound

This paper cites Learning to segment via cut-and-paste,.

Object Placement for Anything Learning to segment via cut-and-paste,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:36.137937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca393f89-f8b1-4f86-8d3f-2efe3b3ba0da · outbound

This paper cites Learning to generate synthetic data via compositing,.

Object Placement for Anything Learning to generate synthetic data via compositing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:36.096044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7271b4bf-97d5-41ee-973e-b07123c90f99 · outbound

This paper cites Interactive object placement with reinforcement learning,.

Object Placement for Anything Interactive object placement with reinforcement learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:36.068588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a92953b-39ce-470f-8cdb-73168384243b · outbound

This paper cites Topnet: Transformer-based object placement network for image compositing,.

Object Placement for Anything Topnet: Transformer-based object placement network for image compositing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:36.033216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4a56176-91e4-416d-8cf7-90037ee0e186 · outbound

This paper cites Gala: Toward geometry-and-lighting-aware object search for compositing,.

Object Placement for Anything Gala: Toward geometry-and-lighting-aware object search for compositing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.985822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b89639f-161f-4f14-b5ee-0d6cce997922 · outbound

This paper cites Learning object placement via dual-path graph completion,.

Object Placement for Anything Learning object placement via dual-path graph completion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.933609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8fbbdb9-a035-44de-980a-f67b3d3cb0bd · outbound

This paper cites Learning object placement by inpainting for compositional data augmentation,.

Object Placement for Anything Learning object placement by inpainting for compositional data augmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.901484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5023da0d-d8c0-4ba1-a3ee-b08232269a18 · outbound

This paper cites OPA: Object Placement Assessment Dataset.

Object Placement for Anything OPA: Object Placement Assessment Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:34.780050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b50dfad-9269-47f9-8500-c3f15a99054f · outbound

This paper cites Fast Object Placement Assessment.

Object Placement for Anything Fast Object Placement Assessment

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:34.793682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2c30bf-cee6-4ad7-8ecc-ef80ea0c6204 · outbound

This paper cites The open images dataset v4,.

Object Placement for Anything The open images dataset v4,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.851984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de791b16-b586-495e-b5b6-0ab320852868 · outbound

This paper cites Instaboost: Boosting instance segmentation via probability map guided copy-pasting,.

Object Placement for Anything Instaboost: Boosting instance segmentation via probability map guided copy-pasting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.808884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c957556f-9e97-4168-b36b-c8a7a71e9fa3 · outbound

This paper cites Conditional transformation diffusion for object placement,.

Object Placement for Anything Conditional transformation diffusion for object placement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.772537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1d89ab5-2a16-4f3f-84f5-832be2821ccc · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning,.

Object Placement for Anything In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection framework for semi-supervised learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.709088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c40182d6-9cbb-4a74-96e3-3b0016f9a935 · outbound

This paper cites Reg- ularization with stochastic transformations and perturbations for deep semi-supervised learning,.

Object Placement for Anything Reg- ularization with stochastic transformations and perturbations for deep semi-supervised learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.653351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a2e99e5-1a11-4c90-b249-2327f4f99625 · outbound

This paper cites Flexmatch: Boosting semi- supervised learning with curriculum pseudo labeling,.

Object Placement for Anything Flexmatch: Boosting semi- supervised learning with curriculum pseudo labeling,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.600737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0acd508a-fcd0-4fdc-9b73-5515fb6ba943 · outbound

This paper cites Cross-domain adaptive clustering for semi-supervised domain adaptation,.

Object Placement for Anything Cross-domain adaptive clustering for semi-supervised domain adaptation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.559783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ee580a0-a179-48bc-b530-0018c56931d0 · outbound

This paper cites Semi-supervised domain adaptation with source label adaptation,.

Object Placement for Anything Semi-supervised domain adaptation with source label adaptation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.517923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4389503-e0ae-4d2a-a635-b1cc4883fe75 · outbound

This paper cites Enhancing semi-supervised domain adaptation via effective target labeling,.

Object Placement for Anything Enhancing semi-supervised domain adaptation via effective target labeling,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.465818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68672734-a70c-44a2-bfe8-e8ad3a7c538a · outbound

This paper cites High-resolution image synthesis with latent diffu- sion models,.

Object Placement for Anything High-resolution image synthesis with latent diffu- sion models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:34.925676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41813d2-1d66-4be1-b09c-c30f1c04279e · outbound

This paper cites Deep residual learning for image recognition,.

Object Placement for Anything Deep residual learning for image recognition,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:34.933406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d089c8-6ffc-4316-9b61-108cc83fb168 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Object Placement for Anything Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.363141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bc3f456-e979-4549-aecd-18c5411347c6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Object Placement for Anything The unreasonable effectiveness of deep features as a perceptual metric,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:35.331978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.