Paper Citation Record · LEDGER

Controllable Text Generation for Large Language Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2408.12599.

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

pith.paper-citation-record.v1
2408.12599 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:05.544649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:09:48.829945Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4d97b2c8-357a-470f-8ada-2521b0871e72 · inbound

LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.

LIFEBench: Evaluating Length Instruction Following in Large Language Models Controllable Text Generation for Large Language Models: A Survey

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:05.544649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffc685f-ab4a-4baa-923c-52ef5ab7142b · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Controllable Text Generation for Large Language Models: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:28.795914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6236afc4-aacb-4427-8c06-40057cd64048 · inbound

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Controllable Text Generation for Large Language Models: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:27.449644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8470a43-cf81-4a27-83ba-afc1589758a7 · inbound

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation cites this paper.

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation Controllable Text Generation for Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:27.046164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a115faf5-412f-4f6f-8eef-0217a7255e57 · inbound

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning cites this paper.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Controllable Text Generation for Large Language Models: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:18.665928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c515621-e5ac-4977-a87f-92c132898a7b · inbound

A Mixture of Linear Corrections Generates Secure Code cites this paper.

A Mixture of Linear Corrections Generates Secure Code Controllable Text Generation for Large Language Models: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:00.483831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9499a2-6c12-46e6-8445-d54ddf696e76 · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction Controllable Text Generation for Large Language Models: A Survey

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:39.934375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d57a0c-f948-49ea-9b5a-ad14f76dadc6 · inbound

How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis cites this paper.

How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis Controllable Text Generation for Large Language Models: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:59:11.392923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c63c94e6-e38a-4352-87d2-16df7eec2bdf · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Controllable Text Generation for Large Language Models: A Survey

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:23.162196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9d3d31-4491-4679-90c7-ae031dec65c4 · inbound

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding cites this paper.

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding Controllable Text Generation for Large Language Models: A Survey

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T03:27:34.509955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2649b420-9e03-4515-af95-2ff4543743e8 · inbound

BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement cites this paper.

BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement Controllable Text Generation for Large Language Models: A Survey

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:00:50.628578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b836b1d-23ef-4a7c-818d-6b7c795d722b · inbound

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face cites this paper.

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face Controllable Text Generation for Large Language Models: A Survey

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:20:54.663032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fd290df2-57f1-4d7a-a761-261ab9dc2ca1 · inbound

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face cites this paper.

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face Controllable Text Generation for Large Language Models: A Survey

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T16:43:11.612005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c51824-c9a6-49ae-8a46-4f26f64e7f41 · inbound

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling cites this paper.

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling Controllable Text Generation for Large Language Models: A Survey

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:30:19.684706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b36cda2-4388-4465-a8cb-7c97f455bd0d · inbound

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents cites this paper.

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents Controllable Text Generation for Large Language Models: A Survey

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:16:03.451434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6aa8a28f-b107-429e-a848-57494ac5774e · inbound

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving cites this paper.

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving Controllable Text Generation for Large Language Models: A Survey

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:46:04.272956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d0dd82e-e7a8-41df-a77e-92252569f6b5 · inbound

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving cites this paper.

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving Controllable Text Generation for Large Language Models: A Survey

Reference 110

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:21:03.963008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 72d60ea4-8bfd-46a6-8a75-d774ca413d0a · inbound

Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment cites this paper.

Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment Controllable Text Generation for Large Language Models: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:24.496056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f53f309-14c8-426f-a25f-ab34850868fe · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Controllable Text Generation for Large Language Models: A Survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:53.489058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 216f3c25-bb80-4c75-bbb8-d924ee8000b1 · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs Controllable Text Generation for Large Language Models: A Survey

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:19:52.982997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2be33b9e-08ca-4888-9779-01140ef8321a · inbound

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study cites this paper.

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study Controllable Text Generation for Large Language Models: A Survey

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:15:03.160302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21a7719c-ca4e-445f-b560-4491a144ad2c · inbound

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study cites this paper.

Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study Controllable Text Generation for Large Language Models: A Survey

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T13:42:19.217187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f1e2882-d11c-40b2-86ab-62d39294281b · inbound

Position: AI Safety Requires Effective Controllability cites this paper.

Position: AI Safety Requires Effective Controllability Controllable Text Generation for Large Language Models: A Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:33:45.472841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0b5e49d-8312-4400-9ab5-f6a2cf4d074a · inbound

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models Controllable Text Generation for Large Language Models: A Survey

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:49:37.536274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8222aa88-a189-4e4f-a111-8122a4d3baf4 · inbound

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems cites this paper.

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems Controllable Text Generation for Large Language Models: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:09:48.831371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a12d5b3c-7012-4091-91a0-e64e711a3a52 · inbound

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? cites this paper.

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Controllable Text Generation for Large Language Models: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.402400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bf177bc-c5ed-4f39-bd0f-c37d476abe53 · inbound

Multi-Objective Exploration and Preference Optimization via Mutual Information cites this paper.

Multi-Objective Exploration and Preference Optimization via Mutual Information Controllable Text Generation for Large Language Models: A Survey

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:18:58.013616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f7d682d-d0ff-467c-8d35-9f8a56dd3659 · inbound

Aligning Language Models with Selective Prediction cites this paper.

Aligning Language Models with Selective Prediction Controllable Text Generation for Large Language Models: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T01:51:25.883463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee07121-55b0-41e7-8ebb-21a07407df3f · inbound

IFHierBench: Hierarchical Instruction Following for Large Language Models cites this paper.

IFHierBench: Hierarchical Instruction Following for Large Language Models Controllable Text Generation for Large Language Models: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-07-31T23:14:22.844588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.