Paper Citation Record · LEDGER

Controllable Text Generation for Large Language Models: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 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 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:11:29.420620Z

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 57d7f8fd-5975-4f30-943f-547ff649bd56 · inbound

Enhancing Annotated Bibliography Generation with LLM Ensembles cites this paper.

Enhancing Annotated Bibliography Generation with LLM Ensembles Controllable Text Generation for Large Language Models: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:11:29.420620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fd929c-0464-4358-a6bf-d3eec19462c9 · inbound

Zero-Shot Strategies for Length-Controllable Summarization cites this paper.

Zero-Shot Strategies for Length-Controllable Summarization Controllable Text Generation for Large Language Models: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:07.497608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f21290-7a9f-4b6d-8f30-ad62c16851b9 · inbound

Exploring LLMs for Automated Generation and Adaptation of Questionnaires cites this paper.

Exploring LLMs for Automated Generation and Adaptation of Questionnaires Controllable Text Generation for Large Language Models: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:19.384434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40b996a-6235-424a-8703-b61a2ecb3294 · inbound

Instruction Tuning for Story Understanding and Generation with Weak Supervision cites this paper.

Instruction Tuning for Story Understanding and Generation with Weak Supervision Controllable Text Generation for Large Language Models: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:29.971021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc250669-7669-49bd-8277-958dea84a5d3 · inbound

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing cites this paper.

Vulnerability Mitigation for Safety-Aligned Language Models via Debiasing Controllable Text Generation for Large Language Models: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T13:14:34.050480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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.