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Paper Citation Record · LEDGER

DINGO: Constrained Inference for Diffusion LLMs

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 6 inbound Pith citation observations for arXiv:2505.23061.

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

pith.paper-citation-record.v1
2505.23061 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:58:38.461222Z

measured 36 of 36 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:32:47.750978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.231721Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b00a4d36-bacd-4949-83be-99df99401f5e · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

DINGO: Constrained Inference for Diffusion LLMs Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 1

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no resolver link, observed 2026-08-07T12:58:35.568520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:35.568520Z digest=sha256:de7e0b5f390032a0737e4435b0db92763c1474c70f104999af387f81db53b058

Observation 8c226fe7-5b6f-47e7-aaf1-c8181fddabca · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

DINGO: Constrained Inference for Diffusion LLMs Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:58:40.993324Z

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=arxiv_source observed=2026-08-07T12:58:35.661728Z digest=sha256:e7eabda64da798820c7fe712191bcbdc78257acc32e7de289c524f72b21fba43

Observation f3631b79-d862-4961-8d77-a59b9c3b5858 · outbound

This paper cites CRANE: Reasoning with constrained LLM generation.

DINGO: Constrained Inference for Diffusion LLMs CRANE: Reasoning with constrained LLM generation

Reference 3

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no resolver link, observed 2026-08-07T12:58:35.777033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:35.777033Z digest=sha256:473538ee142b1d0dfda7cb1cd1ba1c644a8adde7d5e4c4cf803464ac0f3c16ab

Observation 431fa31a-8468-47ed-9fc0-921b55337942 · outbound

This paper cites Bartoldson, Bhavya Kailkhura, and Ferdinando Fioretto.

DINGO: Constrained Inference for Diffusion LLMs Bartoldson, Bhavya Kailkhura, and Ferdinando Fioretto

Reference 4

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no resolver link, observed 2026-08-07T12:58:35.892660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:35.892660Z digest=sha256:eed297fed1b6de1c6f8e49f5ec585ce39867f07ec8999ab79d97817d4f1d0f4e

Observation 1e7fba6c-8432-4dbf-91a3-a0a720e1f4a9 · outbound

This paper cites Z3: an efficient smt solver.

DINGO: Constrained Inference for Diffusion LLMs Z3: an efficient smt solver

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T12:58:40.760860Z

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=arxiv_source observed=2026-08-07T12:58:36.002155Z digest=sha256:d65d46d953701a871c7463bf180dc1f43aac2644b72570e69663ff9600d8151c

Observation 2efa96b6-d16c-48d3-8bf7-c2c3ceafe203 · outbound

This paper cites A general-purpose algorithm for constrained sequential inference.

DINGO: Constrained Inference for Diffusion LLMs A general-purpose algorithm for constrained sequential inference

Reference 6

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no resolver link, observed 2026-08-07T12:58:36.149585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.149585Z digest=sha256:b65f1dffcbe5c40dbd090f668c222db0720c7801dfff3db1fe31c7a45bbe6eac

Observation bed6f3fa-f0aa-4e6e-8393-ed4126203c4c · outbound

This paper cites XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models.

DINGO: Constrained Inference for Diffusion LLMs XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models

Reference 7

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no resolver link, observed 2026-08-07T12:58:36.224573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.224573Z digest=sha256:a65164b82bce348b9536ee248d318a3d20dd447fa736b63c2f7e54661897071e

Observation b6f34b55-e369-4f11-876f-29c69bb04e5e · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DINGO: Constrained Inference for Diffusion LLMs Evaluating Large Language Models Trained on Code

Reference 8

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no resolver link, observed 2026-08-07T12:58:36.330633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.330633Z digest=sha256:5a83d537a6a7ad5338ac0f7ccbedd1a3bcbc240c5859c8929019eddfcbfd57cf

Observation c916c85e-08bc-43cf-841c-8913731d2e6e · outbound

This paper cites LLM training data synthesis for more effective problem solving using satisfiability modulo theories.

DINGO: Constrained Inference for Diffusion LLMs LLM training data synthesis for more effective problem solving using satisfiability modulo theories

Reference 9

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raw_fallback, observed 2026-08-07T12:58:40.532554Z

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=arxiv_source observed=2026-08-07T12:58:36.398183Z digest=sha256:fed3f545aa1eb08a09c62e2d55e58051525bdda6623617ed6802b7c2da686e39

Observation 114518b6-63fa-46cb-a7b5-03512de4463f · outbound

This paper cites an unresolved cited work.

DINGO: Constrained Inference for Diffusion LLMs Unresolved cited work

Reference 10

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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=arxiv_source observed=2026-08-07T12:58:36.469630Z digest=sha256:b9d52ae8ff8ea08cd20269626883b4b722300af6443b13fa5bd23426c94bb84f

Observation 3311cf0a-d2f9-4448-9a48-7bac5e315bf1 · outbound

This paper cites SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

DINGO: Constrained Inference for Diffusion LLMs SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.540055Z digest=sha256:36d7939b1506b083e9cb255e09f5937d2e40acd910de22a8ee49e40dad6f0f98

Observation ba26e44d-0a12-4204-8738-2e2f79b3d2fc · outbound

This paper cites Automata-based constraints for language model decoding.

DINGO: Constrained Inference for Diffusion LLMs Automata-based constraints for language model decoding

Reference 12

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no resolver link, observed 2026-08-07T12:58:36.630388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.630388Z digest=sha256:368709935c20420741d0052a055d77bec81af9e3aa491093d706c1c616447e94

Observation 69758bd7-6657-4fe1-8208-bb87889597be · outbound

This paper cites Validating large language models with RELM.

DINGO: Constrained Inference for Diffusion LLMs Validating large language models with RELM

Reference 13

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no resolver link, observed 2026-08-07T12:58:36.699549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:36.699549Z digest=sha256:578290dfe7c2b907cf0f4c78bedefaa64630394a37479e659bb3a0e217cd4eda

Observation 34bb93d1-fe80-4e34-9eee-69d0fc2128ae · outbound

This paper cites Sequential Monte Carlo steering of large language models using probabilistic programs.

DINGO: Constrained Inference for Diffusion LLMs Sequential Monte Carlo steering of large language models using probabilistic programs

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T12:58:40.163460Z

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=arxiv_source observed=2026-08-07T12:58:36.798259Z digest=sha256:4dbb8d306486a3f680d43f5a5008e3bee6df3c28869183371deac6304d46a2d6

Observation 28c4c105-e215-438d-a286-81f6482c797e · outbound

This paper cites Syntactic and semantic control of large language models via sequential Monte Carlo.

DINGO: Constrained Inference for Diffusion LLMs Syntactic and semantic control of large language models via sequential Monte Carlo

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:58:40.037982Z

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=arxiv_source observed=2026-08-07T12:58:36.884755Z digest=sha256:5005d3dc198b42be9b141be27dab40c58c95d45af0114a054085360c680cad2e

Observation 9ca1443b-f60f-492e-8dd7-348e92554948 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

DINGO: Constrained Inference for Diffusion LLMs GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 16

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no resolver link, observed 2026-08-07T12:58:37.021617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:37.021617Z digest=sha256:95fcfd3d79c956b4eb805b4b1742f3cd4922ab29aadf6d6e50e26ca354b0dfe0

Observation 3a02229b-4a33-47be-8033-395e9c43b5e4 · outbound

This paper cites Large Language Diffusion Models.

DINGO: Constrained Inference for Diffusion LLMs Large Language Diffusion Models

Reference 17

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no resolver link, observed 2026-08-07T12:58:37.100444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:37.100444Z digest=sha256:2a348787039eda5f0363b0be81c65992465bdb61877b5ae89ab2cf623619dc2d

Observation fff042b1-bf2a-4379-85d0-fa84bc5d4491 · outbound

This paper cites json-mode-eval, 2024.

DINGO: Constrained Inference for Diffusion LLMs json-mode-eval, 2024

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T12:58:39.907771Z

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=arxiv_source observed=2026-08-07T12:58:37.241480Z digest=sha256:32b41722663ed9b17a38137183f3dc1390e026cd2e681b82d6055795abb66b43

Observation 1ae764c6-652a-4509-bbce-8d1d52f0252d · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

DINGO: Constrained Inference for Diffusion LLMs Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 19

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no resolver link, observed 2026-08-07T12:58:37.353432Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:37.353432Z digest=sha256:2b008fa1feb54266620d4c903cdb7587d0af486d928bfd1df9546902d9a6160b

Observation 48f0a374-0a7e-4dd7-8ffc-9ca8968dca87 · outbound

This paper cites Grammar-aligned decoding.

DINGO: Constrained Inference for Diffusion LLMs Grammar-aligned decoding

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:58:39.763752Z

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=arxiv_source observed=2026-08-07T12:58:37.463513Z digest=sha256:04bd05724fd85e1d0d5c7fbd152e1828ddf14a6f23e7c91205c672f4513aa066

Observation 81848862-2b8b-47f3-acfa-4dc8e0bd4722 · outbound

This paper cites Grammar-aligned decoding.

DINGO: Constrained Inference for Diffusion LLMs Grammar-aligned decoding

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:58:39.601331Z

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=arxiv_source observed=2026-08-07T12:58:37.562380Z digest=sha256:406ba8216a86027908ecf11cdc39135a5210a32a3a24020581199e1cc881239c

Observation b5b87541-54c0-47d2-97d3-3babae082372 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

DINGO: Constrained Inference for Diffusion LLMs Pytorch: An imperative style, high-performance deep learning library

Reference 22

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no resolver link, observed 2026-08-07T12:58:37.644217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:37.644217Z digest=sha256:3eff972f0999f095b9c90de03e4b08a893d9a4e82e7783e8549d172a16e2c7ee

Observation 338e021a-5c72-45ca-ab42-a173a5edb144 · outbound

This paper cites Synchromesh: Reliable code generation from pre-trained language models.

DINGO: Constrained Inference for Diffusion LLMs Synchromesh: Reliable code generation from pre-trained language models

Reference 23

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no resolver link, observed 2026-08-07T12:58:37.704006Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:37.704006Z digest=sha256:1a10d05e1a1283f3cd18241c6cb52901250daefc660b086d1c4ddb91df66f06b

Observation 8c8e1ff8-a179-4ab8-b7d3-7fe2f054ec24 · outbound

This paper cites Language models are unsupervised multitask learners.

DINGO: Constrained Inference for Diffusion LLMs Language models are unsupervised multitask learners

Reference 24

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raw_fallback, observed 2026-08-07T12:58:39.383636Z

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=arxiv_source observed=2026-08-07T12:58:37.793160Z digest=sha256:102f585bb25deef39754ff60f275c9312c4d0cea1f08c65274e1e8611ee758e9

Observation ac423d53-4f48-4aa8-a5fb-0b3f42064f3b · outbound

This paper cites SynCode: LLM Generation with Grammar Augmentation.

DINGO: Constrained Inference for Diffusion LLMs SynCode: LLM Generation with Grammar Augmentation

Reference 26

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:58:38.014507Z digest=sha256:4181925b96387282f697a9e1d67aa7df75f3b8e502a8a3811b3faf91b50589ca

Observation a03d4a38-e619-42ba-a2ef-fff6ac5b9ab0 · outbound

This paper cites IterGen : Iterative structured LLM generation.

DINGO: Constrained Inference for Diffusion LLMs IterGen : Iterative structured LLM generation

Reference 27

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no resolver link, observed 2026-08-07T12:58:38.106596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:38.106596Z digest=sha256:e5588787b891f6a6227093872539c552f2d6cca8f68a4c908e274470daf88206

Observation 4b55b93f-a3d6-49ba-b98d-114381e5f1c7 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

DINGO: Constrained Inference for Diffusion LLMs Efficient Guided Generation for Large Language Models

Reference 28

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no resolver link, observed 2026-08-07T12:58:38.183103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:38.183103Z digest=sha256:06aa5b2ca5f9486ca97e7b227fe46f3e38f7e41e3b56f2143f613524cbca821b

Observation d94af2d2-b0bd-4755-8cfd-e5ed8a562fce · outbound

This paper cites Transformers: State-of-the-art natural language processing.

DINGO: Constrained Inference for Diffusion LLMs Transformers: State-of-the-art natural language processing

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T12:58:39.218495Z

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=arxiv_source observed=2026-08-07T12:58:38.275830Z digest=sha256:73e99685335842187644ed8e53a11f380106bb3a727f7521526776d5c8031e62

Observation e4a6a502-d1f5-4e57-89ed-ca87eca02e5d · outbound

This paper cites LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.

DINGO: Constrained Inference for Diffusion LLMs LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

Reference 30

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no resolver link, observed 2026-08-07T12:58:38.385754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:58:38.385754Z digest=sha256:229288d6fd9b368aed4d0c873165481817cc7b88cbb327de08141f7337b587d6

Observation f2e5935f-4666-485a-b8c2-f33d16066474 · outbound

This paper cites Dream 7b, 2025.

DINGO: Constrained Inference for Diffusion LLMs Dream 7b, 2025

Reference 31

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no resolver link, observed 2026-08-07T12:58:38.461222Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T12:58:38.461222Z digest=sha256:41a592aa5cb428cf934fadfc0c3ab2a9feb86d21dd2258d74bbb36fe2706bc5f

Pith citing papers

Observation d21b7d98-0f9f-41f8-86f4-9049dd07c6d9 · inbound

RefineStat: Efficient Exploration for Probabilistic Program Synthesis cites this paper.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis DINGO: Constrained Inference for Diffusion LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:31:50.598078Z

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=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:5a3320ff103be4bfae2b11f6bab49823572d5df6514ce6b83e2780e28d231fb2

Observation 4126a9f6-e998-426a-a102-fe528204e5da · inbound

Continuous Diffusion Models Can Obey Formal Syntax cites this paper.

Continuous Diffusion Models Can Obey Formal Syntax DINGO: Constrained Inference for Diffusion LLMs

Reference 14

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no resolver link, observed 2026-08-02T23:53:41.168396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:53:41.168396Z digest=sha256:70aea62c5b9e4ff49aa73be693905b325248bd7a60e7506fd87a6cb30c3bec20

Observation b6b36a40-ffca-4c56-9168-1d77bb979eea · inbound

The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding cites this paper.

The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding DINGO: Constrained Inference for Diffusion LLMs

Reference 3

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no resolver link, observed 2026-08-03T03:32:47.750978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:32:47.750978Z digest=sha256:83d0b799e80408079cfbdc5206c730d56f0016ae8a99b1860c9aaad3dbdeacef

Observation 1959dd70-c388-444c-ad95-53e521afb0f6 · inbound

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints cites this paper.

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints DINGO: Constrained Inference for Diffusion LLMs

Reference 12

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arxiv_id, observed 2026-07-04T19:50:11.233382Z

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=2026-06-25T20:58:26.602409Z digest=sha256:f64da6aa244b98b7b21f2b3afa2485ee62e5cc5bb28d5ffd7c1380fb67a4a7cb

Observation fc9d138f-5095-4fac-95a6-990b5cc5beb0 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation DINGO: Constrained Inference for Diffusion LLMs

Reference 165

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no resolver link, observed 2026-08-02T05:17:45.085411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:17:45.085411Z digest=sha256:3f1ad6d6ed3fc2de7598beba00b390962b1fab244b753277846eb102ba2c9e65

Observation 25ad2110-897b-4377-a77f-203973a181b0 · inbound

Imprompt: A Language Framework for Prompt Programming cites this paper.

Imprompt: A Language Framework for Prompt Programming DINGO: Constrained Inference for Diffusion LLMs

Reference 48

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no resolver link, observed 2026-08-02T07:07:43.862525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:07:43.862525Z digest=sha256:08dead3ccdb5eacd9a0871f80715700d35fe36a56f9b2e3e88e4113890a2bac0