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Paper Citation Record · LEDGER

TFG-Flow: Training-free Guidance in Multimodal Generative Flow

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2501.14216.

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

pith.paper-citation-record.v1
2501.14216 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:40.299735Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:15:07.466245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:17:59.329778Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1893b10-ef39-4bf4-a59c-226abceec3d8 · outbound

This paper cites (17) Again, for each G′ 1 ∈ G, define a probability measurePG′ 1 C on C by PG′ 1 C (c′) = fc′(G′ 1).

TFG-Flow: Training-free Guidance in Multimodal Generative Flow (17) Again, for each G′ 1 ∈ G, define a probability measurePG′ 1 C on C by PG′ 1 C (c′) = fc′(G′ 1)

Reference 1

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raw_fallback, observed 2026-08-10T15:20:40.636603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9f3d47c7-91db-479f-ba80-c92e11b0f2a8 · outbound

This paper cites Diffusion on the Probability Simplex.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Diffusion on the Probability Simplex

Reference 3

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no resolver link, observed 2026-08-10T15:20:40.206367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fdf4a80e-791d-45fc-973f-69ffb3edde74 · outbound

This paper cites Classifier-Free Diffusion Guidance.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Classifier-Free Diffusion Guidance

Reference 5

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no resolver link, observed 2026-08-10T15:20:40.217298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c10824f-5c0a-4bdf-977f-dee6113e533b · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Equivariant diffusion for molecule generation in 3d

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.652420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 634520cf-8ed0-49b6-849c-63cc45efb52d · outbound

This paper cites Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.231433Z digest=sha256:81e19cf974c59577c9d7aabb4e7291f010b6a727746834cb3193d8488ca5185f

Observation 6deeb7fe-ca9f-402d-ab34-f68a016fab92 · outbound

This paper cites Continual Pre-training of Language Models.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Continual Pre-training of Language Models

Reference 9

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no resolver link, observed 2026-08-10T15:20:40.237320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e7a544f-7197-4a9a-8073-ec4958a08e87 · outbound

This paper cites Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Reference 10

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no resolver link, observed 2026-08-10T15:20:40.242143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.242143Z digest=sha256:46a748c30388d2456d1941098c6161dd9c8534f7248815f877dfa49f738056d9

Observation 88d7dd43-1654-43d2-adf9-77c1d76f81b5 · outbound

This paper cites MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation

Reference 11

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no resolver link, observed 2026-08-10T15:20:40.246997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.246997Z digest=sha256:e469a5e082475f7d2cad3fb8ee61c3783fd3553834008d461058124f2cef296c

Observation d96fcdf3-3620-4594-9566-442d40ffb1a8 · outbound

This paper cites Sparse Training of Discrete Diffusion Models for Graph Generation.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Sparse Training of Discrete Diffusion Models for Graph Generation

Reference 12

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no resolver link, observed 2026-08-10T15:20:40.252172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.252172Z digest=sha256:9a3fcdac7d78b3a413c637db511489794db2b0dd2faff0bd527a4518274b6bc8

Observation eff9aeec-a274-4391-bffb-0680e03a90e1 · outbound

This paper cites DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Reference 14

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no resolver link, observed 2026-08-10T15:20:40.261997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1f830ad3-84ea-4e53-b338-93a7929fde87 · outbound

This paper cites Now we are ready to verify that the above joint probability measure P satisfies the desired properties.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Now we are ready to verify that the above joint probability measure P satisfies the desired properties

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.622439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 28160afb-d603-4b09-ae7f-2b3ca2dd5d09 · outbound

This paper cites an unresolved cited work.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-10T15:20:40.606172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.275876Z digest=sha256:badfc13f86c40e6b22d70b84c4c09dfbbc80dc1f36709d357c2603fd8c574106

Observation 1d01d64f-8c78-47cc-9529-bc3c1a738d3f · outbound

This paper cites (20) Thus, the marginal distribution of {Gt}t∈[0,1] under P is PG.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow (20) Thus, the marginal distribution of {Gt}t∈[0,1] under P is PG

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.589201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.280911Z digest=sha256:9b2d0b7ac9b02f8e56235d1b4ea9c145695e8fdbb1187f53df34d5a69ebcd4ff

Observation eac0aff9-d076-4c42-86fa-86a705a05614 · outbound

This paper cites (21) This establishes the specified alignment with the target predictor.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow (21) This establishes the specified alignment with the target predictor

Reference 19

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raw_fallback, observed 2026-08-10T15:20:40.574357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.285225Z digest=sha256:146ab8721ffb6946673faf56329bf8e124e5d451ea6f4960003eac52467bf1ab

Observation e2814974-2573-458e-a94b-0b1147103e63 · outbound

This paper cites an unresolved cited work.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-10T15:20:40.559071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.290267Z digest=sha256:ebe6680fca68ca97a0fc0fbc811465a7b34abe8a1ffb6b08e0e82133ed61fe69

Observation b7b7ff3c-8f43-4627-bf33-e8b846d9f688 · outbound

This paper cites inference with external potentials.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow inference with external potentials

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.543932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.295103Z digest=sha256:fcf66f92fbf63430a56fee5548560fc148bb3cec11e6d5426d559b6d2c645640

Observation 1c12805b-937d-400e-b875-a894243be252 · outbound

This paper cites #Atoms” predicts the molecular properties by only using the number of atoms in the molecule. If a baseline outperforms “#Atoms.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow #Atoms” predicts the molecular properties by only using the number of atoms in the molecule. If a baseline outperforms “#Atoms

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.527380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.299735Z digest=sha256:8db7cbb0c018070dd859f327b52e8e2ef9af032cf1b7eefbb4158102ecfe9c37

Observation bf77bb29-95c6-4c4d-a535-2c206426a070 · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 2020

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no resolver link, observed 2026-08-10T15:20:40.212060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f489676f-1633-423a-be3f-b2f677692d05 · outbound

This paper cites Self-conditioned Embedding Diffusion for Text Generation.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Self-conditioned Embedding Diffusion for Text Generation

Reference 2021

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no resolver link, observed 2026-08-10T15:20:40.257325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.257325Z digest=sha256:72f5914a0470add4e756e2018c1cb1dee1aec58b0531f55d6f7e3fc4f17b2aa3

Observation d6f3b5b9-066e-415f-a2ce-41b5bce5abe2 · outbound

This paper cites Denoising diffusion probabilistic models.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow Denoising diffusion probabilistic models

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:20:40.671221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T15:20:40.222385Z digest=sha256:eac0a850adae58522a65f9227a471e81c4b31990bcb570a6f63b0b53f8833134

Observation 0b597218-ed8d-404c-9ac3-98589e250bf7 · outbound

This paper cites A framework for conditional diffusion modelling with applications in motif scaffolding for protein design.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow A framework for conditional diffusion modelling with applications in motif scaffolding for protein design

Reference 2023

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no resolver link, observed 2026-08-10T15:20:40.194823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.194823Z digest=sha256:df253e9fd6588028e570cd6d5ce9b91ac61c6ccd47477df3621dee0cab9fb1a6

Observation 86f162b5-c858-4b17-897d-77ea869d581f · outbound

This paper cites UniGEM: A Unified Approach to Generation and Property Prediction for Molecules.

TFG-Flow: Training-free Guidance in Multimodal Generative Flow UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:20:40.201052Z digest=sha256:a08083d2494c4afa0c509ec03707ec0decc5ffe34cc16aae27a5f7759633789e

Pith citing papers

Observation 15f78035-9052-4522-95d0-440abf10ac5f · inbound

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery cites this paper.

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery TFG-Flow: Training-free Guidance in Multimodal Generative Flow

Reference 25

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arxiv_id, observed 2026-05-14T21:17:59.332453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T21:15:07.466245Z digest=sha256:f082be104cb47d1252923c117bfebdea8b1ab1a54f9a530468180ec07aa07e1a