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Paper Citation Record · LEDGER

LCTG Bench: LLM Controlled Text Generation Benchmark

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.15875.

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

pith.paper-citation-record.v1
2501.15875 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:45.178797Z

measured 35 of 35 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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0fcee1f-d16a-44b4-8add-7b1bc73bb2b8 · outbound

This paper cites online" 'onlinestring :=.

LCTG Bench: LLM Controlled Text Generation Benchmark online" 'onlinestring :=

Reference 1

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source=arxiv_source observed=2026-08-10T13:53:44.956075Z digest=sha256:86e6a299039687881f15fb1734bceec935e24c4b8d4fe6819e2d0eb9c7f57a98

Observation 0a2398db-abb7-45a6-a23e-e4d4089b7d8f · outbound

This paper cites write newline.

LCTG Bench: LLM Controlled Text Generation Benchmark write newline

Reference 2

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source=arxiv_source observed=2026-08-10T13:53:44.962844Z digest=sha256:e95c181c71ea601f157dd223ec9f753bf3d826e0eeacbf0c386458d357128665

Observation 3352e851-8cd2-48ac-99fb-9b5e1f3c853d · outbound

This paper cites @esa (Ref.

LCTG Bench: LLM Controlled Text Generation Benchmark @esa (Ref

Reference 3

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source=arxiv_source observed=2026-08-10T13:53:44.969461Z digest=sha256:9b1768fc09b360befb05765ce29bbd6f0e38d4087c64d071264030f4ac1c6f5e

Observation b972f96c-1a8c-4dc3-9a7c-c17c4b57ed19 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-10T13:53:44.977114Z digest=sha256:ecc4204f687b09ca0f4b673d44bfa963e5ce9a2a131de9af41cc8e0db744b111

Observation b11ae74a-b721-4d79-b955-d42b3da9c3d6 · outbound

This paper cites 1972", volume =.

LCTG Bench: LLM Controlled Text Generation Benchmark 1972", volume =

Reference 5

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source=arxiv_source observed=2026-08-10T13:53:44.983263Z digest=sha256:9aded73d4e2eff34cfd9ad6888b76c52126c2923fd9552fac58f2b64768d08f2

Observation 61b92f6a-e22c-4ef0-8afc-c023b45ade03 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

LCTG Bench: LLM Controlled Text Generation Benchmark GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 6

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source=arxiv_source observed=2026-08-10T13:53:44.993202Z digest=sha256:be1609d3037a86a023a676caafd75cf46a104cae3dad2a78fb752c592118be85

Observation 15997a3a-a9ea-42b5-af2f-3599c9cd88c9 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

LCTG Bench: LLM Controlled Text Generation Benchmark ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 7

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source=arxiv_source observed=2026-08-10T13:53:44.999097Z digest=sha256:cba1b0029d065f7e6e0447af5a7a6e96797fd133b59d66fe93108176cf090118

Observation a19e8cc3-9cb4-4508-91f8-09f3954e97be · outbound

This paper cites GPTScore: Evaluate as You Desire.

LCTG Bench: LLM Controlled Text Generation Benchmark GPTScore: Evaluate as You Desire

Reference 8

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source=arxiv_source observed=2026-08-10T13:53:45.004862Z digest=sha256:d79fe20373bbce49842109ef0800bac8df884aef9021cd6312e24217fa3883bf

Observation c5ca0b3e-b2bb-4742-8e45-df51bf88174e · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-10T13:53:45.010654Z digest=sha256:eb6ed89a96ea628a72ad5b78030d59cbf8f1ab5ea345f2280634843c0e4ec74a

Observation e7517ae4-2df6-4e45-a6fa-7099a8453b98 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

LCTG Bench: LLM Controlled Text Generation Benchmark Gemini: A Family of Highly Capable Multimodal Models

Reference 10

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source=arxiv_source observed=2026-08-10T13:53:45.017783Z digest=sha256:751c776c2fdbbefa194d0c4be644f819035e33799338919fe5e612822c6c2350

Observation 47e1da2c-f209-4d20-b16c-4f26bf87eb21 · outbound

This paper cites Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M.

LCTG Bench: LLM Controlled Text Generation Benchmark Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M

Reference 11

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source=arxiv_source observed=2026-08-10T13:53:45.024162Z digest=sha256:0305f85d75656b9ecd9675f9e98aacee76670a6e9c8f13410d1f428e5643b2b5

Observation d2459290-a3ab-4c13-b544-e83b20df4c99 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 12

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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.

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Observation 618d2ba5-f73b-40f2-bb1c-68a46fca13c7 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

LCTG Bench: LLM Controlled Text Generation Benchmark Measuring Massive Multitask Language Understanding

Reference 13

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source=arxiv_source observed=2026-08-10T13:53:45.035045Z digest=sha256:6e2c5ede6843510cdbed1393baec426b6d142be39492326b57d6f33a19b9932f

Observation cea1df16-de13-4803-9e53-5ce7018ccd4a · outbound

This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

LCTG Bench: LLM Controlled Text Generation Benchmark FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Reference 14

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source=arxiv_source observed=2026-08-10T13:53:45.041143Z digest=sha256:7f67753a878ece909704291e2e09182876418d75076f6502136592f57e3d27a1

Observation b707f8a9-0b69-4068-9772-b0a142164054 · outbound

This paper cites FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models.

LCTG Bench: LLM Controlled Text Generation Benchmark FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models

Reference 15

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source=arxiv_source observed=2026-08-10T13:53:45.047113Z digest=sha256:8337ca351453fd6704e42dfbd34d1573d8247fcb5bbc2cbb56c6a7f1f611bd68

Observation e938ccc2-9337-48de-9e91-63ae2093cd57 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 16

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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=2026-08-10T13:53:45.053190Z digest=sha256:3da3fea10668d16d9b12868fb4536abf8c35062f421f7e38035345bc4e927cfd

Observation 9a2141ba-3724-4c42-a933-4437375ea966 · outbound

This paper cites Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

LCTG Bench: LLM Controlled Text Generation Benchmark Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

Reference 17

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source=arxiv_source observed=2026-08-10T13:53:45.060162Z digest=sha256:df6143c3b0406e38fc83b81b0dae5677885e02ade0f0a7801e9e34d81bb947c6

Observation 5eae0585-c3a1-4862-b27c-4c5346ea8322 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:45.066905Z digest=sha256:06cbcfb1aab5291bbe3f06f0728e829ec9b08048f7c4637c17c127abeab9d41f

Observation 6a5abdb1-52ba-4605-96c9-aa00ab8484a7 · outbound

This paper cites Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation.

LCTG Bench: LLM Controlled Text Generation Benchmark Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation

Reference 19

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source=arxiv_source observed=2026-08-10T13:53:45.072917Z digest=sha256:3235772d50ebdf41f55daddc628ff308977954125b1899229399a061b4df73b9

Observation 810e7897-981a-4a76-afef-92a24701ff33 · outbound

This paper cites State of What Art? A Call for Multi-Prompt LLM Evaluation.

LCTG Bench: LLM Controlled Text Generation Benchmark State of What Art? A Call for Multi-Prompt LLM Evaluation

Reference 20

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source=arxiv_source observed=2026-08-10T13:53:45.078859Z digest=sha256:0a2634cea8eaae45865431675802085ad00e52ca443994e5fd09e80b2ac2193f

Observation e2698ab9-ab23-46b7-a698-641356447d5f · outbound

This paper cites GPT-4 Technical Report.

LCTG Bench: LLM Controlled Text Generation Benchmark GPT-4 Technical Report

Reference 21

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source=arxiv_source observed=2026-08-10T13:53:45.085504Z digest=sha256:79f1b0517e6882ba5bdeef45f6ff0f72914adb6f2e28f70a68f47890b917096e

Observation 36398d83-49b3-4d53-bc28-9315c526c932 · outbound

This paper cites An Empirical Study of the Non-determinism of ChatGPT in Code Generation.

LCTG Bench: LLM Controlled Text Generation Benchmark An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 22

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source=arxiv_source observed=2026-08-10T13:53:45.092902Z digest=sha256:a0290a70950b1acaf58f0587acc3f9c05ffeb980f6776aa57235512eb4bbf6ad

Observation 3ae3b496-368b-43d4-80e5-675f1a916d85 · outbound

This paper cites Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT.

LCTG Bench: LLM Controlled Text Generation Benchmark Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT

Reference 23

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source=arxiv_source observed=2026-08-10T13:53:45.099596Z digest=sha256:1aecd0b0ebcd5d8b09e3ede3f689602f937f73dcb991699ba278b18a67ae17df

Observation 28e702bd-4eee-449d-b48a-c081e5aa7abe · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

LCTG Bench: LLM Controlled Text Generation Benchmark Language Models are Multilingual Chain-of-Thought Reasoners

Reference 24

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source=arxiv_source observed=2026-08-10T13:53:45.106163Z digest=sha256:6c4f22e10b0c37c55d3ffc1e813c7468b92cae5e914bb41f0ca357e4485895c8

Observation 2e6f2217-f21f-4067-9941-44da6b94190a · outbound

This paper cites JCoLA: Japanese Corpus of Linguistic Acceptability.

LCTG Bench: LLM Controlled Text Generation Benchmark JCoLA: Japanese Corpus of Linguistic Acceptability

Reference 25

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verified exact
local_arxiv, observed 2026-08-10T13:53:45.413490Z

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=2026-08-10T13:53:45.113529Z digest=sha256:eeab834a80b653c48c05520d74952e87fefaf1aeb42a77a4c5cefcf969506485

Observation 9fa18274-e1af-4268-89bd-d1de2975909f · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 26

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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=2026-08-10T13:53:45.120125Z digest=sha256:275d57f3f068eebcc28903b45a55e2d54a87855addd30d7960c73bfed0a7dfb4

Observation e7679ab8-965e-49f2-9974-ff28d6e9080b · outbound

This paper cites Evaluating Large Language Models on Controlled Generation Tasks.

LCTG Bench: LLM Controlled Text Generation Benchmark Evaluating Large Language Models on Controlled Generation Tasks

Reference 27

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source=arxiv_source observed=2026-08-10T13:53:45.125635Z digest=sha256:22885103dea13ea862c5113c832c5d084e4235415f5ccb2137c8fd7c9ea69170

Observation 1fceccab-704b-4c13-b2a6-6130916aeafa · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

LCTG Bench: LLM Controlled Text Generation Benchmark Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 28

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source=arxiv_source observed=2026-08-10T13:53:45.132431Z digest=sha256:4d07dca187fafb1f7f37949695fb7ff62954deeab931f874c14bfecbecaf2a1e

Observation b63a3a63-02ff-41f9-a70f-627a2f501df6 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-10T13:53:45.139220Z digest=sha256:8bdb7e5904d5380a82bd675d8c54406ea6de74148056a3a3c445afb7cb86e95e

Observation cfae5f1f-5e34-406c-9111-bca30d5eecbe · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T13:53:45.828558Z

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=2026-08-10T13:53:45.145455Z digest=sha256:cbbe5b8fbab4299d3bcc56711eeb8fd13a071389df5612a02da4726481bc08ba

Observation a90bd32c-dd3b-4da5-a875-9956dc651bd9 · outbound

This paper cites an unresolved cited work.

LCTG Bench: LLM Controlled Text Generation Benchmark Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-10T13:53:45.153301Z digest=sha256:a65cc845a5e5e9e26785b49afead437272859b4287d3922adfc78b6f0f314b67

Observation c56b4d90-e04f-4c31-bd39-81cd67c0b40e · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LCTG Bench: LLM Controlled Text Generation Benchmark LLaMA: Open and Efficient Foundation Language Models

Reference 32

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source=arxiv_source observed=2026-08-10T13:53:45.159878Z digest=sha256:d9c83861e2b3487f4983aef5f1aed0005d0ec1d774ba9ae2dc8fedb8bff29cb8

Observation 21992690-4777-4016-ac1d-ced908378a95 · outbound

This paper cites COLLIE: Systematic Construction of Constrained Text Generation Tasks.

LCTG Bench: LLM Controlled Text Generation Benchmark COLLIE: Systematic Construction of Constrained Text Generation Tasks

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:45.165811Z digest=sha256:d68fb18138e03ec391b7a000b1ee5204c0a53055b9f4301f5bfe2540c0170517

Observation 4cde2e24-0fcf-4e77-a591-7d62b5c401c8 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

LCTG Bench: LLM Controlled Text Generation Benchmark Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 34

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source=arxiv_source observed=2026-08-10T13:53:45.172235Z digest=sha256:a268b52e1f0c29f95c30da66d8f81776b221bcbe551f3a9e919070fdbe0fd9fd

Observation eb1a83ea-3745-465d-b89b-dfcbedff018e · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

LCTG Bench: LLM Controlled Text Generation Benchmark Instruction-Following Evaluation for Large Language Models

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:45.178797Z digest=sha256:d3db5573aea98a89b69a3bb880754c8ed4902833db3934d66f4b4e8751d7b1c7

Pith citing papers

No inbound Pith citation observations are available.