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Paper Citation Record · LEDGER

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data

As of 21 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.17695.

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

pith.paper-citation-record.v1
2505.17695 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:27.120881Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

60 of 60 outbound references displayed

  • verified exact3
  • verified fuzzy49
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18aa0765-f4fc-43f3-9784-94f3d02bdcaf · outbound

This paper cites GPT-4 Technical Report.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:20.053296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:20.053296Z digest=sha256:9b6360c81da266ed50b5a1bb19d64a36fef8193719cf015e9f4d2f7ca4d529bd

Observation db9ff230-e126-4178-a790-947e329204ee · outbound

This paper cites Vqa: Visual question answering.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Vqa: Visual question answering

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:40.174662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 75d2d425-9aed-44f3-bff1-77c513afcb5e · outbound

This paper cites Coco- stuff: Thing and stuff classes in context.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Coco- stuff: Thing and stuff classes in context

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.965237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0040dbe8-b07a-4196-b433-0c795bcf9153 · outbound

This paper cites Detect what you can: De- tecting and representing objects using holistic models and body parts.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Detect what you can: De- tecting and representing objects using holistic models and body parts

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.855083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:20.582089Z digest=sha256:c4dc3b00ee79b8934538257b894f8350b021170feac142940c4847ffe129c5d2

Observation 29e63728-7e7c-4d1d-840a-d251c80e6c04 · outbound

This paper cites Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.662221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:20.719249Z digest=sha256:d22a73980a822dff7f5df142baac2f9322714183cf9999f8042ec435d9b1d28f

Observation 593d3b04-b604-4091-b064-ecf33998db1b · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data The cityscapes dataset for semantic urban scene understanding

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.388987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:20.814327Z digest=sha256:901db97013c25e982972bce020d5380f08699790710d0b07b2421d7755fd0725

Observation ad7a91b9-c475-43c5-a60d-ee70e36b05ab · outbound

This paper cites Divergen: Improving instance segmentation by learning wider data distribution with more diverse generative data.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Divergen: Improving instance segmentation by learning wider data distribution with more diverse generative data

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.171952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:20.945150Z digest=sha256:17eceab8b1d201d40a883e2b4ccf374f583b95575b10af08a14f83b8275afae9

Observation 4f51af55-ece7-4008-92f8-d16910be9951 · outbound

This paper cites Finding nemo: Negative- mined mosaic augmentation for referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Finding nemo: Negative- mined mosaic augmentation for referring image segmentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.874547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.055373Z digest=sha256:565650b445fb40c58ed813975114d0111a50f3183cae2a697b74f9a3c55d6a83

Observation ed78cdbe-d00e-4fc0-ba65-b58e6c349938 · outbound

This paper cites Mixgen: A new multi- modal data augmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Mixgen: A new multi- modal data augmentation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.621618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.156345Z digest=sha256:9728ee9c41da444f90db3a0d2cec2e6db0a37412fd1913f0b9271057ec975157

Observation 6b5d6fab-f880-40aa-ab36-6cfdcd249263 · outbound

This paper cites Partimagenet: A large, high-quality dataset of parts.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Partimagenet: A large, high-quality dataset of parts

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.344668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.270993Z digest=sha256:dbdf088b6729a483ac4c40495ae42e54b22d8b54896faf10098974d79ea64582

Observation 4d663812-4d0e-492c-a258-9c9a1b0d5a54 · outbound

This paper cites Denoising dif- fusion probabilistic models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Denoising dif- fusion probabilistic models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:21.417306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:21.417306Z digest=sha256:fe364fa4cfb6d195bfb92a74b91ed7eda48efd2a9a2d3093f959595708e7921e

Observation cc5a2dd0-2c42-4778-800d-c7a349015700 · outbound

This paper cites Beyond one-to-one: Rethinking the referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Beyond one-to-one: Rethinking the referring image segmentation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.073131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.520435Z digest=sha256:25082b5df78b4e5b0c39cde520fc3a8c55b90e3526b21680be1d0674cbc19053

Observation 982feeb2-8e80-48da-ad7e-2911838a7c6b · outbound

This paper cites GPT-4o System Card.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data GPT-4o System Card

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:21.632881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:21.632881Z digest=sha256:838f5181ed33ed93f53b29c1afa2c1fab22dfda9eab714fd540fe18cf975b53c

Observation 04aa2b42-bb28-45f9-991e-09beeba581d7 · outbound

This paper cites ARMADA: Attribute-Based Multimodal Data Augmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data ARMADA: Attribute-Based Multimodal Data Augmentation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:47:27.779282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.743339Z digest=sha256:3f7ff3d81aaa830b8116a6a969f3eb27b4e43c70d4bbb9d3a9a81b0d03a46f31

Observation 81d70f02-e4d9-499e-a0d0-6180e3306afe · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.826592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.838974Z digest=sha256:99c293493fcb93be0a245c548f7a0e96d9ad651e157f42624b61f4cd581cff36

Observation ae266e83-b34f-4ec4-97a8-e409dbdb1892 · outbound

This paper cites Segment any- thing.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Segment any- thing

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.601437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:21.921379Z digest=sha256:a45972508db8bdd396d21c72f81a98063e4b524e2f1ac8eca01e3c021799c67a

Observation 1bacd787-1def-49b8-b1b3-46cb72466998 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Lisa: Reasoning segmentation via large language model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.363436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.006435Z digest=sha256:ca25fc13118cc0799a850d7cb7aa4c67c162e192f4633e266466b0022b5222bc

Observation 698c7ee5-b400-4e3a-9262-594cd968a8ac · outbound

This paper cites Bigdatasetgan: Synthe- sizing imagenet with pixel-wise annotations.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Bigdatasetgan: Synthe- sizing imagenet with pixel-wise annotations

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.057411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b7c1f8cc-3b97-41dd-b890-b773d04e95ec · outbound

This paper cites Gres: Gener- alized referring expression segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Gres: Gener- alized referring expression segmentation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.829544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f3e6ca16-c619-4cac-8b4d-c154571f153c · outbound

This paper cites Improved baselines with visual instruction tuning.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Improved baselines with visual instruction tuning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.591923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e1829636-215f-4de0-8a45-31ebf64feeab · outbound

This paper cites Visual instruction tuning.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Visual instruction tuning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.367977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.405143Z digest=sha256:f68a916f21eed5ad658038114fdd70ede031126f7a2366527aaad58b43c4d9ce

Observation 7b0b0c59-ebbc-4ddc-bb91-8141aea95786 · outbound

This paper cites Learning multimodal data augmentation in feature space.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Learning multimodal data augmentation in feature space

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.085520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.497171Z digest=sha256:1a1bc13d7873a68138d5ec914ef249996a258d6edb1cac280f2a74d207fb2b7e

Observation 2b756d41-74bb-40b7-8fa0-0565df969ac0 · outbound

This paper cites Generation and com- prehension of unambiguous object descriptions.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Generation and com- prehension of unambiguous object descriptions

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:35.769701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.582842Z digest=sha256:58f360cd098aaddc9b14f9deed806698b85f80d40939d4ce372776a7faff2711

Observation 2d0486e6-a933-42fd-a5ad-faba589ad9f0 · outbound

This paper cites Arm- bench: An object-centric benchmark dataset for robotic ma- nipulation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Arm- bench: An object-centric benchmark dataset for robotic ma- nipulation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:35.465501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.655738Z digest=sha256:0827a95ba7eddc9193d8bbffd8e9a0fbc01eccae904205db94d3bd300f024d6b

Observation 376cf2ff-cf1e-4986-b3dc-81d7c8a7364a · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data The mapillary vistas dataset for semantic understanding of street scenes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:35.253944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.831522Z digest=sha256:6caa50047accfded76b42aa280028bfb91415228254971369915a1ff3bb9ed41

Observation 8c7a92a1-16bf-4206-a287-7634dca742da · outbound

This paper cites Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Dataset diffusion: Diffusion-based synthetic data generation for pixel-level semantic segmentation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:34.982424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:22.906508Z digest=sha256:01a5eb1e851658077866cb397b0d19486c06ebf13d816a43f85800ed110fad18

Observation 6e601524-4404-4457-948b-7ebddc73b350 · outbound

This paper cites Learning transferable visual models from natural language supervision.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Learning transferable visual models from natural language supervision

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:34.697135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.020067Z digest=sha256:8f7ca748d30e3b05ef5b5fe98b134684d2b7dc9db519386444779d9d16a58764

Observation e2e5d3db-c511-4199-8a54-e25671517fc1 · outbound

This paper cites Paco: Parts and attributes of common objects.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Paco: Parts and attributes of common objects

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:34.330678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.143071Z digest=sha256:8e477de426be6ec7dd4688a9d2527aaf7782f4cceee5c5b72e1ca785c0593843

Observation fa6d6adf-7a56-43be-8858-94a792959ffd · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Glamm: Pixel grounding large multimodal model

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:34.086363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.247935Z digest=sha256:3dbee416ddcab058621816be9c163b53be93807a2dce48f8a7edfcb91f3bcdd1

Observation 86e7719c-f194-4a07-ab95-adc4a619e2ed · outbound

This paper cites SAM 2: Segment anything in images and videos.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data SAM 2: Segment anything in images and videos

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:33.780743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.370944Z digest=sha256:bc69a9495079b46850e3a3fce06915dcf532c6ba5e1fbdc2574dc30490abca66

Observation c4b4b0f9-a4a7-4e5d-bbd5-950cb452100a · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Pixellm: Pixel reasoning with large multimodal model

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:33.485800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.476000Z digest=sha256:96b21615ec1f04075eedad4d64edd535dedc6914d7121e923f2d1a9f8ae74094

Observation 9cb64232-9601-4aaa-8e40-c94bc1fd775a · outbound

This paper cites Grounding of textual phrases in images by reconstruction.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Grounding of textual phrases in images by reconstruction

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:33.238447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.585827Z digest=sha256:b3be7b8ec4701e0053d043f3a1c557b2c9e3823b045efe69ec77bfadf28b08dc

Observation a7751b07-0325-4461-8730-f2f0486faf37 · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:23.699161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:23.699161Z digest=sha256:03dbf740316e0594a4f66735ab2a5352cbe21b1597c3270bced07c0100b29aad

Observation a09e70b1-3ba4-4121-a076-ae22b72a40aa · outbound

This paper cites Denoising diffusion implicit models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Denoising diffusion implicit models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:33.015018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.808606Z digest=sha256:6ced15ff4e9a559f7909ae0945ff7a1db4b2b782c150aec52ec65a56520be2b8

Observation 5f946cb7-fbce-46cf-8317-c2e35efda692 · outbound

This paper cites DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:47:27.583189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:23.916439Z digest=sha256:c36cc1e084f3d607eaccbdf91e6b355db7e17af1e6459959ad283e691a76b714

Observation 110b8971-dade-48ef-83e0-968aa9e3a808 · outbound

This paper cites Cris: Clip-driven referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Cris: Clip-driven referring image segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:32.788625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.069836Z digest=sha256:7e0c1cee46b095e6797de847f3b055efde5b39dceaa0fbf176de7e883e217f28

Observation af2dc787-bdba-49e3-aa9e-79ca09ac039e · outbound

This paper cites Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:47:27.366597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.223505Z digest=sha256:b1a1d809bb16b714e8fa62ece7bc0c90e22df4d9756d311a1c5d2c15aa4f631b

Observation 311c22a3-2dc1-427d-811d-a8c2a2111c5b · outbound

This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using diffu- sion models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using diffu- sion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:32.549960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.377245Z digest=sha256:584b5bffcda41c54f0a35883fadcf7d44694f76b6cd5c34c6c840ccc34e5c454

Observation 65cc8935-735d-46fc-a756-96c111073256 · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Gsva: Generalized segmentation via multimodal large language models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:32.290075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.527351Z digest=sha256:1a921c0b0e4f5fedbb09be9b0842b16a23d1fbc4e2e5ee5bd750f6a50769b39a

Observation 664af2dd-7586-4e2f-b56f-a4755bf3bebb · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:24.674218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:24.674218Z digest=sha256:aa71bf1d127ea13a5b2c67dca33b577fbe8f3daeb6d462e016a167de45f45ce2

Observation f9c2fbe1-7532-40b5-a8b8-a64bd7d7408e · outbound

This paper cites Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:32.060147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.804534Z digest=sha256:f3dadfc99a73222b2a92246fad46cce4f0e1ad7c55ccb9b0939aa033ead98381

Observation 896b32b1-bbf4-4502-85ab-79dc11b0e4f7 · outbound

This paper cites Bridging vision and language encoders: Parameter-efficient tuning for referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Bridging vision and language encoders: Parameter-efficient tuning for referring image segmentation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:31.877017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:24.935045Z digest=sha256:cc2d9dd08f72aa9284be8de92296fd1f8cb3bdf44e3709aaee0fdb42fea2cef7

Observation d107d3a5-db7d-4cc3-b2c0-5f562362d384 · outbound

This paper cites Panoptic scene graph gen- eration.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Panoptic scene graph gen- eration

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:31.620806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.078638Z digest=sha256:df7673ad728de4d70ffe1e5055968da8c2e4e05105633106fb8a2d7bca7cfc58

Observation 1365327d-86c0-4d4a-b647-c82600da3a52 · outbound

This paper cites Freemask: Synthetic images with dense annotations make stronger segmentation models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Freemask: Synthetic images with dense annotations make stronger segmentation models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:31.349947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.211282Z digest=sha256:d9beeb896c65530d17f3067b5bdf69a6266ed8f292b6ed3e135ac361bd820c1a

Observation b8f52a39-dab2-41d0-8719-3e2d99ac9dbc · outbound

This paper cites Lavt: Language-aware vi- sion transformer for referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Lavt: Language-aware vi- sion transformer for referring image segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:31.049158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.303573Z digest=sha256:e1ea627eca1edb748dc3d290fa8c5b841788836d929dbd63e45a59bf983fcede

Observation 5b90db18-c264-45a0-a000-dc216eddebb7 · outbound

This paper cites Seggen: Supercharging segmentation models with text2mask and mask2img synthesis.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Seggen: Supercharging segmentation models with text2mask and mask2img synthesis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:30.759804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.460160Z digest=sha256:f60d03b83b90c606ece7508482ac20627aa096e81cff830bac37317d9b6569a7

Observation 9e21ba7b-94d9-4cd1-8b4c-13e978fbf85c · outbound

This paper cites Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:25.624443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:25.624443Z digest=sha256:0e880e5a6e423af66f831489708c73be89314efcfabf3392aa00b9e8eafea7e2

Observation be04d225-2071-4d7c-9095-03a4d872127f · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:30.484684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.738988Z digest=sha256:0203eb09fb7d0ce5fc963fe2109a6aee11b787d8a20f6b113540ddc674a4348a

Observation acee422e-2b11-4869-b89b-d5faaecd52b9 · outbound

This paper cites Coca: Contrastive captioners are image-text foundation models.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Coca: Contrastive captioners are image-text foundation models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:30.246850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.851673Z digest=sha256:ea22b334738055f4b3957fc310a84409f96090bc990672ec6e25e54e65444fb5

Observation 298725ce-b1b7-465e-9404-4ce1c629a6b5 · outbound

This paper cites Modeling context in referring expressions.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Modeling context in referring expressions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:30.004079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:25.960341Z digest=sha256:da4afc2f0da699a9dbb5e01633ef498dd3167d4f6a0bbbdb92a0dde6b59e2228

Observation 53ee01ac-5595-4c72-ad2d-3706a951b1f9 · outbound

This paper cites Pseudo- ris: Distinctive pseudo-supervision generation for referring image segmentation.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Pseudo- ris: Distinctive pseudo-supervision generation for referring image segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:29.677320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.080046Z digest=sha256:b25fd8c15af9289b5852d078c82976b27c766b7ff74b659a68c88de3770b5535

Observation 029d00c9-a3b2-46ca-a571-56dae9d18660 · outbound

This paper cites Revisiting counterfactual prob- lems in referring expression comprehension.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Revisiting counterfactual prob- lems in referring expression comprehension

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:29.418166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.169375Z digest=sha256:a526ccbb4e17ef1e4ce3b7eac9b57e7c74f417ec90eee14ca611c4c269e47d47

Observation f413083f-ea99-4897-bd65-4ed33e1fddfe · outbound

This paper cites Datasetgan: Efficient labeled data factory with minimal human effort.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Datasetgan: Efficient labeled data factory with minimal human effort

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:29.165630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.285795Z digest=sha256:2af2bbd338bba0b10a026e9e57290c405b445a96351a401085c529b451b2ef98

Observation eea956fa-8b55-47b8-904c-11aabd935bef · outbound

This paper cites EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:26.416689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:26.416689Z digest=sha256:566d5b4bf89f1de203e5b4907f396b9a3ebf419a4995a36bb3ee5e09cd966d6a

Observation ca4ff209-3265-47d3-8c01-6989a655964e · outbound

This paper cites Psalm: Pixelwise segmentation with large multi-modal model.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Psalm: Pixelwise segmentation with large multi-modal model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:28.928964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.551994Z digest=sha256:200b04ee62d442c666f97c2010c1f1ec162c680435190acdcea9080b9aa20a7c

Observation f7082026-268a-4aff-b4bf-f8b162d5061d · outbound

This paper cites X-paste: Revisiting scalable copy-paste for in- stance segmentation using clip and stablediffusion.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data X-paste: Revisiting scalable copy-paste for in- stance segmentation using clip and stablediffusion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:28.685348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.658210Z digest=sha256:a12c2d7d3dbd9ce1fd34d4179f447e33aceaabb43939782db12880120d1bfef1

Observation faaab8c1-8e33-4b9d-bde0-3cda016368a8 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Unleashing text-to-image diffusion models for visual perception

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:26.760787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:26.760787Z digest=sha256:4a336d91772968697c05bffef19843e2b42129649c9068d6c031d7b3685dd244

Observation 7a5485ab-0c7b-4bbc-a4f3-e759d859ec47 · outbound

This paper cites Scene parsing through ade20k dataset.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Scene parsing through ade20k dataset

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:28.461809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:26.890631Z digest=sha256:c0b4b5cebee8262309ee2c015200361344d9280533d493eea83cebd066936402

Observation a9a2d513-693c-4783-b193-ac6be2c89da3 · outbound

This paper cites Generalized decoding for pixel, image, and language.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data Generalized decoding for pixel, image, and language

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:28.237992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:27.016843Z digest=sha256:6427f3cb17db0c4c7fdb7a3c118ab98eec7251daabd3e12d6e85bb757b2d972b

Observation 926b136e-3d50-499b-99db-ad42737ca299 · outbound

This paper cites the cat sitting on the bench next to big green wooden boat in the center of the image.

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data the cat sitting on the bench next to big green wooden boat in the center of the image

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:27.953849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T14:47:27.120881Z digest=sha256:ec9b2c5309023b8ad1ab789353683641edd0b4876883b0eaac3a2c7dc2f145e1

Pith citing papers

No inbound Pith citation observations are available.