Pith. sign in

Paper Citation Record · LEDGER

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2504.21423.

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

pith.paper-citation-record.v1
2504.21423 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:10:33.076943Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:39:38.004121Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:53:33.153751Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact6
  • verified fuzzy10
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7c78070-7bd2-49cf-a316-115a5e53901c · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Exploring Visual Prompts for Adapting Large-Scale Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.892425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.892425Z digest=sha256:57a97fc76f3518e5e4d14cc0aa4e84d5353502f2668b2e72b79e02b8194a6605

Observation dfcb459b-9569-4624-84ef-7055b6ce7de2 · outbound

This paper cites This is because Diff-Prompt provides additional auxiliary information for the original GLIP-T(A) without making any changes to the model itself.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision This is because Diff-Prompt provides additional auxiliary information for the original GLIP-T(A) without making any changes to the model itself

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:10:33.465260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.047897Z digest=sha256:be2cb9bfeceabe795ec0624abca4de9233ed6cc2cc67ab5d47c2e8628dcf383f

Observation f2a5cefa-0f37-4012-88a3-e16090d1b51d · outbound

This paper cites Li Fei-Fei, Rob Fergus, and Pietro Perona.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Li Fei-Fei, Rob Fergus, and Pietro Perona

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.880154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.912348Z digest=sha256:a520c4ad271358daac00eeb7a2cefef583d5a1bf79702849c44c830a4fa7ad4f

Observation c26ccfff-d68b-4e8d-8bc2-ab697f63d69e · outbound

This paper cites A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:10:33.695763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.921027Z digest=sha256:dbfdfbd8ede958338bdb3a8176eda107e33946fa772e4ee79befdd448490be4d

Observation 8f28b75b-1c04-4541-a95d-e95c8ecbd7e8 · outbound

This paper cites Drew A Hudson and Christopher D Manning.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Drew A Hudson and Christopher D Manning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.867187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.926391Z digest=sha256:641af7162d13f288d24c3a680717fea5368252885c3b3bb37e8bedf6f206013e

Observation e4c92e44-6bb9-4e7b-9286-b88c03ed237e · outbound

This paper cites ReferItGame: Referring to objects in photographs of natural scenes.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision ReferItGame: Referring to objects in photographs of natural scenes

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.854372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.930458Z digest=sha256:ae826f106644208f6b1734a196629870b5854c6eea7a06906ca3c63ef85de87d

Observation 1e8399b3-9e4d-4d2b-b671-9d8f778e9531 · outbound

This paper cites Language-driven Semantic Segmentation.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Language-driven Semantic Segmentation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.945076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.945076Z digest=sha256:08aa6f7f37e0cd935c0d1a5e3b35b0d0f402f1ff50115d5fc8934451198f2163

Observation fc50ac76-0507-426c-993c-4cf8b910c814 · outbound

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

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.950147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.950147Z digest=sha256:666a8752d620dccc0c1e2a761082e19b2a95bb4e0f96baa162b2ec27de1b2a46

Observation ab7617b6-5f76-4f91-becd-2aa5519fa5e3 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Fine-Grained Visual Classification of Aircraft

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.959159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.959159Z digest=sha256:6620a5c22bc5ba2db87e7400c873d1c543f4c9c526054ed0e7df883cfbed5b36

Observation fb87bf8d-9454-4329-8b85-f8cb4113af99 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Learning Transferable Visual Models From Natural Language Supervision

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.980617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.980617Z digest=sha256:8fc01e2dc01384b2bec09898fb52c219f0ea0f8b0176a5cbb1f5994b540ea592

Observation f910407b-6504-4969-a803-c7935ee25063 · outbound

This paper cites Consistency-guided Prompt Learning for Vision-Language Models.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Consistency-guided Prompt Learning for Vision-Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.985450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.985450Z digest=sha256:885c26eb30f613587c661e116a28ba418dabe64e0676bdbd997f191c3274546b

Observation 58f98ab4-ce2d-4b40-899f-2539f9aed734 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.990101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.990101Z digest=sha256:513a2eea9d0031dfcc8e11953050a68852abe1a2e47552ab24c060fa2e0e260d

Observation c0203a4c-e410-41b1-8414-4d97842d407d · outbound

This paper cites Denoising Diffusion Implicit Models.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Denoising Diffusion Implicit Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.994442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.994442Z digest=sha256:938311e9e95d91adee4bf8eec0cba26440cba5080843f4eb1a1067fa96b543b5

Observation 0a9b0521-719c-47b8-ab7f-7176aa3c9430 · outbound

This paper cites Meta-adapter: An online few-shot learner for vision-language model.Advances in Neural Information Processing Systems, 36:55361–55374,.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Meta-adapter: An online few-shot learner for vision-language model.Advances in Neural Information Processing Systems, 36:55361–55374,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.830133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.999868Z digest=sha256:92b5b03e3bbf194ed5d429e25dea0428f60f4ba5b74d38e89986e783daee7c7a

Observation d5639b81-5f0e-4d86-b00c-fefc7f1f1e6c · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:33.005070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:33.005070Z digest=sha256:28b85b91e0babab3d7ecf42c4af49a434cd0394454ea102b0df385a1df028fa8

Observation 40204495-cfa5-4a0d-91d9-888f1095475d · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:33.009973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:33.009973Z digest=sha256:2c06a03b489f5d3cc5f19cd87acf1d18db630e4809d44afd0d54980e33b0de1c

Observation b62e1db6-4046-4cb7-a819-c2aaad1d346f · outbound

This paper cites S-prompts learning with pre-trained trans- formers: An occam’s razor for domain incremental learning.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision S-prompts learning with pre-trained trans- formers: An occam’s razor for domain incremental learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.817039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.014410Z digest=sha256:71dfd10f1bae076a80859a21cb78e182f834f69576c25198335fbf56ce680fc6

Observation 20599226-64e4-4c0b-a973-d2070a1b00b4 · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Florence: A New Foundation Model for Computer Vision

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:33.018984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:33.018984Z digest=sha256:7f8b7d58236788f99822e31ed9ba931bf38911bf2f4facd92a28af59228f2d87

Observation 1b30b410-3ea5-4a2f-87a9-676f990ee42d · outbound

This paper cites Unified Vision and Language Prompt Learning.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unified Vision and Language Prompt Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:33.024513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:33.024513Z digest=sha256:950e2a2280b8081da45ae1e2d349cf75e81f44d471731b6242274e26b5f6ca1f

Observation d4e6874c-a56f-459e-aaa9-6866264ae5ab · outbound

This paper cites GLIPv2: Unifying Localization and Vision-Language Understanding.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision GLIPv2: Unifying Localization and Vision-Language Understanding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:33.028985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:33.028985Z digest=sha256:c592cc14e85e331aca9bb61ed7cd59908fd47f33694e686c6541d5bcefcd0243

Observation b8246729-b372-4d20-ae9f-09f6ca47926a · outbound

This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Tip-adapter: Training-free adaption of clip for few-shot classification

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.803561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.034489Z digest=sha256:fc14866ca0143f54983bbdf0e4caabb5eb63f501613113237d456cdcf0851bb9

Observation 34cc10ee-bd8b-40b7-8572-5abf743da4c7 · outbound

This paper cites A.3 ADAPTERDESIGN Figure 7: Adapter Architecture.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision A.3 ADAPTERDESIGN Figure 7: Adapter Architecture

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.791477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.039220Z digest=sha256:1ca202793010333a5176c825c279e2a888092d3196a136b25ac6614bc2e5dca2

Observation e4ff3387-a81a-4894-aa26-dd219df7ba71 · outbound

This paper cites This improvement is likely due to incorporating more interactive information in the shallow layers of the encoder, which may better assist the encoding process.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision This improvement is likely due to incorporating more interactive information in the shallow layers of the encoder, which may better assist the encoding process

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.778182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.043818Z digest=sha256:adc3ebdb2910225ba545b9863d1aaab222a137ce304aed376d4edf5b542cab16

Observation 3a40d79d-57b1-488a-9818-8f6f935aec93 · outbound

This paper cites an unresolved cited work.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unresolved cited work

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:10:33.325878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.056976Z digest=sha256:93b0f250215ee960b13b78f06cd0d77c25ab1f4ce50eafeb3e7a23eaea8d828c

Observation c4777db5-76be-4fd9-a260-8cecfce6ae35 · outbound

This paper cites an unresolved cited work.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unresolved cited work

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:10:33.259060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.061466Z digest=sha256:e1fe0312fb5cd8b5020a96984059bd669f7d0d94bc4ffa14fbd803e7fddf8b23

Observation ab1c3ee4-5c82-4759-a228-2cfd5bb63de8 · outbound

This paper cites an unresolved cited work.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unresolved cited work

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:10:33.194354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.065754Z digest=sha256:caaea6947ca1cdd24f1e53311e3a4244546f95ba60d299f7498e78c8c8c4a1c6

Observation a1d0f9e4-2550-43ea-9ed0-c2f741811a85 · outbound

This paper cites an unresolved cited work.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:10:33.765981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.070630Z digest=sha256:38385074d203c2b8d2ab1c7043e30fefdd96d1fdb9c431d8b4db0f48ae7b475f

Observation b6faad16-12af-4365-86e4-cbfeedad1981 · outbound

This paper cites an unresolved cited work.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:10:33.754095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.076943Z digest=sha256:d7779cfb57c571b7deb99b77c67bf12d16d1deca29b6d9948ccfcb7a51acdfb7

Observation 5a761c28-a396-42c8-bffb-d17d1846cefb · outbound

This paper cites Cats and dogs.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Cats and dogs

Reference 2008

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.842447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.963573Z digest=sha256:3d1d71d902a1b865a232eba4cacb222e4a76b72c548736f271f62fb82b09a5e3

Observation c9dd1123-8b19-4e07-9255-a4b7fcafbe58 · outbound

This paper cites Specif- ically, we can consider that the CLIP model is well-fitted to the ImageNet dataset, while the data from the other four datasets are treated as out-of-distribution.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Specif- ically, we can consider that the CLIP model is well-fitted to the ImageNet dataset, while the data from the other four datasets are treated as out-of-distribution

Reference 2009

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:10:33.390390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:33.051838Z digest=sha256:a45b8ac235db582f75e0c4b81e20bab91241a18e9b7752f9b140d79d98f649c9

Observation 3523354f-e59d-4d0d-985c-bb26bdd078cf · outbound

This paper cites Scalable Diffusion Models with Transformers.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Scalable Diffusion Models with Transformers

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.967437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.967437Z digest=sha256:473b917aa8787bde99ebaf9a20f2f6f4613156081b607a8c2ff41db2c70500fe

Observation d1a5b514-bf19-4244-be88-a05ff2b21909 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.940473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.940473Z digest=sha256:eb1dbc2b00960c360c203c83e62a5b01aa1f6df6a630d4bea937be5894bffe67

Observation 82762d4f-4940-466c-9ce3-f5db292d7acf · outbound

This paper cites doi: 10.3115/v1/D14-1086.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision doi: 10.3115/v1/D14-1086

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.935037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.935037Z digest=sha256:8628fb1acfa26aabc2c615ea43f51dfe06ceea4770b540589df4d2bf8ba3b2d9

Observation 41bfaf0e-3822-42db-9510-5eb1cf42d5f1 · outbound

This paper cites Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.976270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.976270Z digest=sha256:963e39c880085d329f065bfe48ec825b5e302c2ab83722a1e7e7bc0bfe0131ff

Observation a44923ac-af8e-461f-9bd5-671e5ca4d7aa · outbound

This paper cites Language Models as Knowledge Bases?.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Language Models as Knowledge Bases?

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.971847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.971847Z digest=sha256:108a7c19e99185fba01165fe660d834055306d59220f4a5f96af3e1ad8732a33

Observation 02ae7557-c271-46a9-b841-3dd23f073c03 · outbound

This paper cites Language Models are Few-Shot Learners.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Language Models are Few-Shot Learners

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.902620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.902620Z digest=sha256:f0890c76295f8787cbe6aef11e6b7ed61ebf3b2cd86ffb4be86b935cef21ee0f

Observation 12a21229-d608-487c-a7fa-fd802330eac3 · outbound

This paper cites Non-confusing Generation of Customized Concepts in Diffusion Models.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Non-confusing Generation of Customized Concepts in Diffusion Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.954901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.954901Z digest=sha256:d55224677d747938ed6ee0fe52f86cc83935d897e5499c1d924814fdfded2601

Observation 52326d8e-4622-4ada-b239-7b844de95d50 · outbound

This paper cites Food-101–mining discriminative compo- nents with random forests.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Food-101–mining discriminative compo- nents with random forests

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:10:33.892727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:10:32.898714Z digest=sha256:bf1a193caeb221fd768e92688962f7e9dd7cdc15d2e11cbb085d52632dce89e8

Observation 224b7c81-098c-46b4-ba67-4dd0b355827c · outbound

This paper cites Domain Prompt Learning with Quaternion Networks.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Domain Prompt Learning with Quaternion Networks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.907580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.907580Z digest=sha256:201964ca0fa01aa7863128baedbee9b2c6352afd169dbd937ef0ee6008a1fa05

Observation 5341d9b9-f4b8-4b1a-a8dc-87e3549d2033 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T05:10:32.916763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:10:32.916763Z digest=sha256:aaa46e1a429a07c381e8453eb392a340158e3e5e931b6856c9ea490a7b280349

Pith citing papers

Observation 9ad4596b-6515-41a4-a36d-67c2973997d8 · inbound

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration cites this paper.

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:38.004121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:38.004121Z digest=sha256:3515c475fd2e4492c9b276d591409d9efa3ada47c6c6963630b4dc55f03b1a20

Observation ecf08316-d95c-49d3-ab62-3a542071f092 · inbound

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal cites this paper.

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:53:33.235477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T21:53:32.048766Z digest=sha256:91dc00f6f7f0550abd5e7ac87b781522642b96560a757eeeaf3feb2c2cae803a