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Paper Citation Record · LEDGER

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance

As of 10 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2606.03119.

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

pith.paper-citation-record.v1
2606.03119 v1

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:44:32.967009Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

100 of 100 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved95
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

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Outbound references

Observation ea8a31d1-04a6-4e04-8973-723823f74282 · outbound

This paper cites H., Jin, K.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance H., Jin, K

Reference 1

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:2f7c79fc222150b26858d19550f802fcb86f1b8a0cad78901d807bcb7766401b

Observation e7f9c69e-53b5-4491-afb8-45c6727e56c6 · outbound

This paper cites Dynamic classifier-free diffusion guidance via online feedback.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Dynamic classifier-free diffusion guidance via online feedback

Reference 2

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Observation 9d441ae2-ef2f-4f23-9024-fd05a4759e39 · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:6dc75c9034e6460c04c0b0f3e77aba763bc0768db5e173c70e7ac3ec4bc76160

Observation 5c6058c0-2e70-4f7b-96c8-a70ae8aa8121 · outbound

This paper cites Stochastic self-guidance for training-free enhancement of diffusion models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Stochastic self-guidance for training-free enhancement of diffusion models

Reference 5

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Observation c973c201-50b7-43db-9381-9d6f3d83c298 · outbound

This paper cites Normalized attention guidance: Universal negative guidance for diffusion models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Normalized attention guidance: Universal negative guidance for diffusion models

Reference 6

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:05072db9becfc815d65fa4bb6044f0d3d0fb55359d6320e236296c8b2b9eeb27

Observation a36c8a29-8d95-40e3-8cc6-292bc0c214af · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:df4f7273bfa0da18f4dbda77c58c65b76612a067c54901f2c206444b26d2d9ba

Observation 846b0e44-1d77-40c2-a233-555f2f27cfba · outbound

This paper cites Infergrad: Improving diffusion models for vocoder by considering inference in training.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Infergrad: Improving diffusion models for vocoder by considering inference in training

Reference 8

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:8c3d9beebb89dbfead9052e8088604b2e51f75e61ef98be722ab4dcfe130589f

Observation a813aa87-de7d-4897-b841-28b30e9a830b · outbound

This paper cites P., and Zhu, J.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance P., and Zhu, J

Reference 11

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:9fd084410ac15c6c1434d52c7c29944baf851c8c2fcceba56e4b251de9aa3d41

Observation 4dcffd32-468c-414c-aa61-6e7df0a10d81 · outbound

This paper cites Omni2sound: Towards unified video-text-to-audio generation.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Omni2sound: Towards unified video-text-to-audio generation

Reference 12

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Observation c12e3379-8630-43d9-afe2-da258df773bf · outbound

This paper cites author Dong, W.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance author Dong, W

Reference 13

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:d5ee3d2dd1a26be46022ae83fc60885b45fb91e7881c8e4ce765145d6566338d

Observation 1e96fe4d-f30f-4ab2-b6c4-d856f82111d2 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Scaling rectified flow transformers for high-resolution image synthesis

Reference 14

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Observation e77ab0b9-2118-4cea-bff8-304d152a3007 · outbound

This paper cites On the guidance of flow matching.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance On the guidance of flow matching

Reference 15

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Observation 8ff021e1-ed05-4bf1-bc3c-974618ab4359 · outbound

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

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

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Observation 7d1d5beb-0d27-4dd6-b36d-d361cba5a5ec · outbound

This paper cites and Salimans, T.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance and Salimans, T

Reference 17

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Observation 644f4d4c-ca6b-49c5-88f2-70297f64f86e · outbound

This paper cites Denoising diffusion probabilistic models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Denoising diffusion probabilistic models

Reference 18

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Observation b446d52a-5653-4388-9542-73bdbdd2cfa1 · outbound

This paper cites Smoothed energy guidance: Guiding diffusion models with reduced energy curvature of attention.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Smoothed energy guidance: Guiding diffusion models with reduced energy curvature of attention

Reference 19

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Observation fa3c0a66-ddc2-405e-b958-9bfc9ebd3040 · outbound

This paper cites Improving sample quality of diffusion models using self-attention guidance.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Improving sample quality of diffusion models using self-attention guidance

Reference 20

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Observation 93cc1cbd-80f5-47bb-b2d9-66df86e52b79 · outbound

This paper cites B., Romero-Soriano, A., Drozdzal, M., Verbeek, J., and Alahari, K.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance B., Romero-Soriano, A., Drozdzal, M., Verbeek, J., and Alahari, K

Reference 21

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Observation 9fb4edec-195e-456d-8cd3-3a8dff732ee4 · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 22

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Observation 7ec39894-6c3a-4c73-a12d-e35abaa47cfc · outbound

This paper cites Freeaudio: Training-free timing planning for controllable long-form text-to-audio generation.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Freeaudio: Training-free timing planning for controllable long-form text-to-audio generation

Reference 23

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Observation f6bce209-0386-493a-a37a-27c2e23a3f37 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Elucidating the design space of diffusion-based generative models

Reference 24

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Observation 3bf3d3af-5458-480f-a972-7614ea9804df · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Guiding a diffusion model with a bad version of itself

Reference 25

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Observation 5dbbbbc0-0fc3-46de-9eb2-fe355568db07 · outbound

This paper cites Binauralgrad: A two-stage conditional diffusion probabilistic model for binaural audio synthesis.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Binauralgrad: A two-stage conditional diffusion probabilistic model for binaural audio synthesis

Reference 26

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Observation 4c2d8291-2363-4761-8c19-dba98c1b76b9 · outbound

This paper cites Bridge-sr: Schrödinger bridge for efficient sr.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Bridge-sr: Schrödinger bridge for efficient sr

Reference 27

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Observation a088f642-35d8-4a9b-9654-b1282a8fe6f5 · outbound

This paper cites Audio super-resolution with latent bridge models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Audio super-resolution with latent bridge models

Reference 28

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Observation b517d1e4-17a3-4b82-af0f-0cfd75253823 · outbound

This paper cites A., Nie, W., and Anandkumar, A.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance A., Nie, W., and Anandkumar, A

Reference 29

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Observation bf21a1fd-0eee-4090-84ad-e03547ab063b · outbound

This paper cites A., and Chen, R.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance A., and Chen, R

Reference 30

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Observation cc3d96a3-7726-411c-ac6e-e7a634bf167b · outbound

This paper cites P., Wang, W., and Plumbley, M.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance P., Wang, W., and Plumbley, M

Reference 31

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Observation 91f3f9fb-9b61-46e2-b852-9624d96e57ad · outbound

This paper cites SDE dit: Guided image synthesis and editing with stochastic differential equations.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance SDE dit: Guided image synthesis and editing with stochastic differential equations

Reference 32

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Observation ee3c57d0-4e6d-4bf0-a9f6-feb1243c0147 · outbound

This paper cites Respdiff: An end-to-end multi-scale rnn diffusion model for respiratory waveform estimation from ppg signals.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Respdiff: An end-to-end multi-scale rnn diffusion model for respiratory waveform estimation from ppg signals

Reference 33

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Observation 4115347f-236e-4f06-b3d2-d1f54d8868da · outbound

This paper cites Diffgap: A lightweight diffusion module in contrastive space for bridging cross-model gap.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Diffgap: A lightweight diffusion module in contrastive space for bridging cross-model gap

Reference 34

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Observation cab57448-f5da-41bd-a6cb-9b94bd426140 · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 35

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Observation db6c0080-54de-4780-9bf0-bda750f43f92 · outbound

This paper cites Dynamic classifier-free diffusion guidance via online feedback.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Dynamic classifier-free diffusion guidance via online feedback

Reference 36

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Observation e7369d5f-c6c4-4c86-aa35-0a096afab998 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance High-resolution image synthesis with latent diffusion models

Reference 37

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Observation b38a0e38-899d-4c8e-bc11-c1ff933cff23 · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 38

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Observation da9c52f1-d59c-4a67-b6ef-996d911f83b1 · outbound

This paper cites Improved techniques for training gans.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Improved techniques for training gans

Reference 39

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:ff7c79e7eb3d3ecd5060147007f13e129a1aed0b7a25b7acfc393b2927d0b172

Observation 1168c1c9-9f3f-46cc-a05a-5bcc2a474f05 · outbound

This paper cites Denoising diffusion implicit models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Denoising diffusion implicit models

Reference 40

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:4a2d95ed29b863db0158a6be59a0fe01bfdfc17f516398f3d51c74506933c281

Observation 6aa886cc-6d04-4e8f-9c8b-882f4d0e3d09 · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance P., Kumar, A., Ermon, S., and Poole, B

Reference 41

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:90c3bd6f9a297e955240e1c087b18ec2fddc62fb479245f1b7326229751aca42

Observation 4db3f3a3-8339-4c54-b740-2121a459bc7b · outbound

This paper cites Dual diffusion implicit bridges for image-to-image translation.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Dual diffusion implicit bridges for image-to-image translation

Reference 42

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:cab87732347cae8db795e45926e77c77d0cd56cb6cbffec7ab198d0f878c8288

Observation 12fc4303-930f-4144-b1be-f2e38a18b0dd · outbound

This paper cites Z., Daniele, A.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Z., Daniele, A

Reference 43

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:dd537c34ea4cada61e855ef201dc77b607ba72588de804622e423c9732cfdcd1

Observation 5a257954-8690-43b2-af2c-81e1148813f1 · outbound

This paper cites Audiomog: Guiding audio generation with mixture-of-guidance.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Audiomog: Guiding audio generation with mixture-of-guidance

Reference 44

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:58137a4b969f1343500f4ae1dfca36a666bdd9d315cf60a5c11ae6184f5eb39a

Observation 1c33b1f8-3592-4404-912f-732ef61c235a · outbound

This paper cites Towards a golden classifier-free guidance path via foresight fixed point iterations.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Towards a golden classifier-free guidance path via foresight fixed point iterations

Reference 45

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:549871a0cb55a376aaa573d4ff1a6d9a0858693be68574280310f2280cf99020

Observation 8ab26b56-31c1-4891-a18b-b15dd6d77410 · outbound

This paper cites Tiva: Time-aligned video-to-audio generation.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Tiva: Time-aligned video-to-audio generation

Reference 46

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:0e460655958715dbbffb46ebe3df4d183d3357a97c0e3676cee4db088c72cf2c

Observation abe6e9f2-402e-4901-905d-72ba29a68da0 · outbound

This paper cites Framebridge: Improving image-to-video generation with bridge models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Framebridge: Improving image-to-video generation with bridge models

Reference 47

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:ce304fca9c913f32ae75ccbbc78ee921e2003f0bd2f7cad98f554963fcd2f7c5

Observation 25e7e251-80bc-4219-836f-e2e4a07a7fb1 · outbound

This paper cites A., Shechtman, E., and Wang, O.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance A., Shechtman, E., and Wang, O

Reference 49

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:f732f3d223c77719ea2f6dc8eb0fd3f3bafcafbcc536c3d68dcff0e9239c53d7

Observation 447a5015-eb0d-42b3-aa08-78c9255ad690 · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:adb86b415483d1dd5be79b9e236a0b9b431c41a0671e6788ae44facc28bd0c13

Observation 7f3d15aa-a987-4789-8869-d11338e6ac42 · outbound

This paper cites Diffusion bridge implicit models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Diffusion bridge implicit models

Reference 51

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:35af5cfafd12f57e0b15d42803b65cd959b1b116a2f2a508228927f38d84aa5a

Observation 2c8b1f00-c875-4fd6-94f8-5d42c7ef5f1e · outbound

This paper cites Denoising diffusion bridge models.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Denoising diffusion bridge models

Reference 52

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:63594d1a9447437fc430ba5f8cdc3376691d39485474ad4b3e80f95d937c1a98

Observation 3e3c5c0f-5df4-44f1-848e-b7243e523a89 · outbound

This paper cites International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance International Conference on Learning Representations , year=

Reference 53

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:d1c8b84c9c300b5fc9a930549bac71ce4d4b059ef757329fcc008ab0dd6a8069

Observation 3582224f-4a36-4754-a74b-23bda29ad8ff · outbound

This paper cites ICLR , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICLR , year=

Reference 54

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:08279b0cff7a5467ff0b09ccba0e40fa674cbabb8e330b0ef0f707eea2c6c685

Observation 4b7a8c09-4f73-4e36-8e8b-e2091efaf879 · outbound

This paper cites ICLR , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICLR , year=

Reference 55

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:0d1a6abd262f542b1fdc4610c7524f9cb18825e49cb9469da5baa02c4ebc6d4f

Observation 549fc50b-88d2-44cc-adae-1943db1f3ee6 · outbound

This paper cites ICLR , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICLR , year=

Reference 56

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:862f26b40b7bf2e01433ca13f078db2b1f09340e114b6571bf4b049f8bc3308b

Observation ebec78b7-bdb8-4344-a9c9-6af17d1a6682 · outbound

This paper cites ICASSP , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICASSP , year=

Reference 57

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:22f1c1a3a1119db0769f54f5a83d873edfbe323532c6acd4f4410054d08421b6

Observation a018455a-5f4e-4552-b866-64e25963de5a · outbound

This paper cites NeurIPS , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance NeurIPS , year=

Reference 58

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:8e7ce9e9a07dd273745f1c03a701a381cb5919fbd2f2917ecb23be77c60cd306

Observation 6ede3296-5081-4329-84d3-1e35a80f4bd7 · outbound

This paper cites ICASSP , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICASSP , year=

Reference 59

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:a919baf14f82a263dcc2e8a2112e8a359fb7b9f3cd937e40726f130297ffcf00

Observation 9b4fc30e-9456-497f-8aa8-563db3f692b4 · outbound

This paper cites ACM MM , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ACM MM , year=

Reference 60

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:57cf6d5b5e03dd302fa3d24e623772c6eda659cb3a7b0d0f6e1bdfee205b8b1c

Observation dbfae20e-41df-432b-8ef4-a6fb1412e789 · outbound

This paper cites Nature Machine Intelligence , volume=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Nature Machine Intelligence , volume=

Reference 61

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:b8bca5ba9717d75da5132540b734844f3f6df7fff88f19133b5196b3637f1a11

Observation 0debf658-afd5-4c97-b3ec-4425041db0fb · outbound

This paper cites ICASSP , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICASSP , year=

Reference 62

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:e7f347ac8f44e2e7c0f334551890f941eac44cb906044a4fb56af133ddc405e7

Observation a83b0532-4ef0-4b6e-b81d-5f3ae9ca965f · outbound

This paper cites ICASSP , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICASSP , year=

Reference 63

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:7c58f4473b9799d70a2d62a77a39ae6cbae260d12c2eaf226b016e1c4a2afb7d

Observation 18f93c59-463b-4e81-8bb8-733174527330 · outbound

This paper cites ICME , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICME , year=

Reference 64

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:fa29a089bed927b6f9ffebd7d6bae0fe431914ea96fcba7742caaa612fca9518

Observation 35f1d495-23a9-4974-b051-2f7d11c2c580 · outbound

This paper cites ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

Reference 65

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metadata mismatch
arxiv_id, observed 2026-07-02T02:36:27.518915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:f889f9e74bfc50f4be7d083fdfc30785ef17219207df62d193407a727212acdc

Observation 8b79cc70-6fef-4ec9-b223-3b5786c8f7b9 · outbound

This paper cites arXiv preprint arXiv:2509.25275 , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance arXiv preprint arXiv:2509.25275 , year=

Reference 66

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arxiv_id, observed 2026-07-02T02:36:27.521796Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:e109abde61d432c99e364bc5576ba39629a7b886097056fc1085fa4765ebc0c8

Observation e382a2c8-21c3-4805-b2d0-a484cf233269 · outbound

This paper cites NeurIPS , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance NeurIPS , year=

Reference 67

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:4b1e5a6ed97ab7f555ddf655c3ca758180e26b0767b4845699297399fcec9067

Observation 744d5f08-cf2e-4ce8-9bb1-a09e0dc76e0e · outbound

This paper cites Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

Reference 68

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arxiv_id, observed 2026-07-02T02:36:27.524380Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:522b173b84c38d65fb0d98d609303f1ba29ea6c3d2b4532d8f63411cd978b2c5

Observation 5adbd833-511e-4bbe-ae6a-30ffb3c8a461 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 69

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local_arxiv, observed 2026-07-02T02:36:27.528821Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:f55c3df048e5529c774062b766005bf9f899975ed489315514e803f6ea2015b5

Observation 60eef107-e07f-46f2-8f80-02cc78ab61c4 · outbound

This paper cites ICML , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICML , year=

Reference 70

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:a00472a3faee891447323eb39df6f9b0f289cee0373f95b3246eb11d9dde4181

Observation 9b11c5dd-bf7c-41a2-ad75-1480ca9dfa63 · outbound

This paper cites ICML , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICML , year=

Reference 71

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:5a436e5c079a65e42451bcd3c54620af12dfb4fd5ab74c0eeaa7bb77be87c903

Observation e38017be-28a2-4b24-8095-3a9e889bcfeb · outbound

This paper cites CVPR , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance CVPR , year=

Reference 72

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:cacb1aed4f66df85c0be5ef616cdf76e5427cdacaf42c7369aa9e379e94214a9

Observation 9490f93c-c410-41d2-8848-fb688651f2b1 · outbound

This paper cites ICML , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICML , year=

Reference 73

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:8b5fa5d93e508caeb0a56d3cd3de811475f51bf6e0af8a26d074d245329d9140

Observation 42e26cb5-b387-4702-bd70-56802faccdba · outbound

This paper cites ICASSP , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ICASSP , year=

Reference 74

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:d4842939550459d54f672404d2638d3d3ed275af574800252629525ba74ad82f

Observation 838a1bd3-4208-4209-bb04-36311a97fba2 · outbound

This paper cites NeurIPS , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance NeurIPS , year=

Reference 75

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:8a5c7d87d6677ced0d55a46e184e5c29560f08b540a8a1688245afea01cb781f

Observation fa04e7ff-f409-4531-b26f-441c9a6fffc3 · outbound

This paper cites CVPR , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance CVPR , year=

Reference 76

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:4b884df750da3604c81d83fdc353c2c6ec6e9c70890a61a7ca610ce319e4c945

Observation fea79a1b-8550-489d-9b86-1cef93d838cd · outbound

This paper cites ACM Multimedia , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ACM Multimedia , year=

Reference 77

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:89567a36540f91ab8de9fbb27547b24e8f0f8e3ed2a97bdf2d12ed2cf94ad477

Observation 10f625e4-eab0-464c-a8fe-76d804213b92 · outbound

This paper cites I ^2 SB: Image-to-Image Schr.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance I ^2 SB: Image-to-Image Schr

Reference 78

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:d3efcdd84fbd7a5ef7ab8aae661a9acd472954e75da91e4c61d07676a7722fd2

Observation 2915c8ec-1c01-4e7f-91f5-8bd755a8c3cb · outbound

This paper cites NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications , year=

Reference 79

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:de1c8f4d0c1b84bcd6a67743749b9f79f33a4fde5dc7e3a2fd1cd3669dc6f610

Observation a6d26951-1730-48b5-a824-629f5919c01b · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Guiding a Diffusion Model with a Bad Version of Itself , volume =

Reference 80

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:c8b9c8017e673dc856848093bddf21de02ca1cbbe088f86f52439950963fc148

Observation 05873791-511a-416e-8944-71e1d719dc31 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Thirteenth International Conference on Learning Representations , year=

Reference 81

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:e7960f192055ffa219eb249171f0f0390e948be7371eb7b2c7973be08185a3c5

Observation f0f2ffc8-4453-49bf-aecc-0cbef6e12065 · outbound

This paper cites Denoising Diffusion Probabilistic Models , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Denoising Diffusion Probabilistic Models , volume =

Reference 82

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:1fb451e537c05af341f0ad869bcb00794a38ecc6e668f32894c64feb77f55441

Observation 0e25a249-360c-4669-92a8-8fb320bdaa66 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Elucidating the Design Space of Diffusion-Based Generative Models , volume =

Reference 83

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:5b9cfb2182e476c0105e8687e764c6a4b769fc3e2a67d6c4fb7e5e22c680e0a9

Observation 5536f4d4-2e3b-4c86-9545-a8b5a9ab4496 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Eleventh International Conference on Learning Representations , year=

Reference 84

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Observation 9f6e16b5-3a67-4548-a931-ede69f433cdb · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 85

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:e8b075f99f4f1aa66fc9728b42370642a620fdb4fff7ea84da588feb594167c3

Observation b4c97a08-7679-4803-803b-f56a1a831c47 · outbound

This paper cites , title =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance , title =

Reference 86

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:0bbdce2453e5adee4a8abb44fa6ddd9c25d2f46c625b9e6ff0eb80e59f8454dd

Observation f57fa533-4321-4dd2-b900-e6c69a7ceaba · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 87

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:721aa4cf19bb405a471cc7bbd5a93637158db58a0054d55531aa6d205c1e0f73

Observation 6122bfee-5e12-497c-b6f8-c6f215638d76 · outbound

This paper cites 2019 , eprint=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance 2019 , eprint=

Reference 88

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:66165ca131e09c37207bc0b93f6c31d3dede379dd890e28ef88eba3d7685dbc0

Observation 767d167c-6d85-450e-bb81-81cfd91afe06 · outbound

This paper cites ImageNet: A large-scale hierarchical image database , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance ImageNet: A large-scale hierarchical image database , year=

Reference 89

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:a10f65ea33f2eab90f075deae94dd333a5d83e9fd6cc8ef5c128e0713d7b526c

Observation 98bae6a6-308f-4787-897e-523c57913d9b · outbound

This paper cites International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance International Conference on Learning Representations , year=

Reference 90

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:f0fa03d011f97da5af13845c15a2028771674a8e06c9281cd2556f88dbcf3123

Observation 5d42bb21-ecfb-4858-a0db-a5318b9dc4d8 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , volume =

Reference 91

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:38c6740b5175dea03fc39937680dd3b3fbf3d93c82d064f6f1951c41edd56b18

Observation 9e410518-40ea-42ec-9eba-1925ccb9c69a · outbound

This paper cites Improved Techniques for Training GANs , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Improved Techniques for Training GANs , volume =

Reference 92

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:711556712d897e42e6f7d0696c58d5a07dc2b8018b4701bcc05fdda8cd20f495

Observation 32272caf-385d-4182-9230-8afd0c871a03 · outbound

This paper cites and Shechtman, Eli and Wang, Oliver , title =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance and Shechtman, Eli and Wang, Oliver , title =

Reference 93

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:9f3782f859d68044ead66914a0373f767d53952d7c0e3479a52d84b1c8b23203

Observation 46c6f351-9e62-4a79-8924-439be8b05897 · outbound

This paper cites Improving Sample Quality of Diffusion Models Using Self-Attention Guidance , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Improving Sample Quality of Diffusion Models Using Self-Attention Guidance , year=

Reference 94

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:fc0a1a42b37b40a2918e0152ca09675fd11d2ef8bf3990e5b1ece9525403deb1

Observation 66411bc9-3f8b-4020-b84a-12a8c85becb6 · outbound

This paper cites Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Self-rectifying Diffusion Sampling with Perturbed-Attention Guidance

Reference 95

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:96181083163e6b7eef77fa74ea54940675bc4044fa96dca9bdb130e497b3cf43

Observation 6355cb9f-12d0-4a80-b45b-87fc9fa8eb72 · outbound

This paper cites Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention , volume =.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention , volume =

Reference 96

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:391c72082e9254e6eab74476344ea10cd9df2b7176877befafeb5ae3e9dc989a

Observation 8926a2ff-25fa-40a8-b886-3761741cf3fd · outbound

This paper cites 2025 , eprint=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance 2025 , eprint=

Reference 97

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:be4ea08dbf167d249ddfab5406eb4d1390ac3c040e71fa0be7e97547a5200e96

Observation 8366250e-b6a2-4f1c-ad6d-0501b3433890 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Fourteenth International Conference on Learning Representations , year=

Reference 98

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:3b74b1c33557735d646ef0fd78ffedc01dd53a688e3382abc1a444f1c8697ae0

Observation f55a5dc8-23e4-47aa-a3af-ae660c9e298b · outbound

This paper cites an unresolved cited work.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Unresolved cited work

Reference 99

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:1c0f072d12a92dee4b147533ccb37317243c6ea4a1d779c36c47ad4f73cce097

Observation 1c8ad3bc-3c6e-4f2f-88f7-ade0effe0c4b · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 100

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:2af87b57b26b68366012499e8b5fdd670dcda7748ee1c4c0b19df42a99d2db12

Observation bb95134e-1a6a-4896-9107-dbcac0c98e97 · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 101

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:c3d153e46ab2995c6f26e04e6908abe6ad161da50408b5dd71538c168ca44bca

Observation 2bbd5e7f-d8ab-4a75-81be-215e3d5ef53b · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 102

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:3dc101784e2030ac64504775dc6ce66bc82c4255fbd7ae74b7946b131c2fb671

Observation 32286d71-5d7c-4bb6-9d1e-e3166137192b · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance Forty-second International Conference on Machine Learning , year=

Reference 103

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:758fc6804f0145de7bcc3842d2e1034d8f19b7ccadbf78ed599e4099e1e23bc8

Observation 1aacf016-ee37-46b7-8c1f-169724312c59 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance The Fourteenth International Conference on Learning Representations , year=

Reference 104

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source=arxiv_source observed=2026-06-28T10:44:32.967009Z digest=sha256:c7e61f90054509080a9a26a416801ef416287a73ca85f7f2c28efbf2dcc5baea

Pith citing papers

No inbound Pith citation observations are available.