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Paper Citation Record · LEDGER

Controllable Text Generation for Large Language Models: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:27.046164Z

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

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  • malformed identifier0
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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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:33:27.046164Z digest=sha256:8a2c619849a4db1ddfa78dd2e347eeec2a865094b83ea912f1b36c5ad761f631

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:18.665928Z digest=sha256:910143d0dda225f1ae0099520268bee292acabd0e5618f03c2acfaefe4d7dec0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:59:00.483831Z digest=sha256:b9e4a57085a28f5c1e5ca957d12ae245816d11aebdcb99d3e72b17abd4d5dd37

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:39.934375Z digest=sha256:f08436050cbde8c329cad48d3355f2532b4644c7ea9639f7e18e4a3712ffa028

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:59:11.392923Z digest=sha256:a5de15d499c62601adbb226dce73471cfcf91b270f41f72e14cdbd7f73b70227

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:15:23.162196Z digest=sha256:de89d6a17a7e46874cbcd7dbd6bc8b388f71a4524c4e0de8475363fdc53f9186

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:27:34.509955Z digest=sha256:e92be8ea0e3d17c371a4b04d5022633b122d46396d2db92a9444b5436d4f52bb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:23:19.091444Z digest=sha256:148d36d9b8ee65d663d0b33eab6479cb8124bab0002ad3d24a6fee18e731cadc

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T19:11:27.071800Z digest=sha256:e3db8682dd90674560e6ee930d68971d86264dccf368cead1ad5074812dbe08b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:43:11.612005Z digest=sha256:797bba1fe9ef45288d5b4aa3fbaf441d75b96476a8d634c86dc79046669b7266

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

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T04:51:12.358148Z digest=sha256:96b646c3266bdd325242745ee635f625258264a50d6465b6abab2750bb08fc07

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T02:10:13.205879Z digest=sha256:3d2811483d5c61a7486e09513a2a41f000b8b1366f85042c34dbcb93d5956766

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

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T00:37:55.147350Z digest=sha256:84220fcc055ca41af1c88aae3e93e688ee91fccb498b92b3f573b377e9c5cb2a

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

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-09T22:04:19.654714Z digest=sha256:e70f5a72a26f4f22f45ea9a5ec89466f6f896464b143c721144640f4957eb04c

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T04:29:54.013922Z digest=sha256:901cfa77d136f7914acbf78bcc83c832649e1b0d51ac5f75c0e75deed2d278db

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T03:40:04.692279Z digest=sha256:c5246ba15e19dcf817d6889ba588e909535059336f8fb9356c871a6c14d68c19

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T08:14:55.858466Z digest=sha256:9ad3f86f4f4ed6ca7aa404aa10c5a501572e955c02d66eaa8dc16b4bc18acf2f

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T05:11:47.070579Z digest=sha256:da07ed1106cf79e8ee01c02912a8d8f2e4c99fc9c2ebeb3bc78a90c34be23d90

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T13:41:37.102367Z digest=sha256:b770db5dab422958b8009280d9fdf028cc82cc85abfe2aa7da0e1c650473b391

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T17:25:56.324612Z digest=sha256:68259c5062dfabeff94a247ea098c19f8d5285e8686b70d56471a3daeed96890

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

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T14:13:13.678245Z digest=sha256:e4840b9d1814cf3f937dcb9c4bb27286ac201d1c630540a876b20ed03a10247c

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T07:13:21.198407Z digest=sha256:5b54f2f781e7c12f89fd24a3b344c9d52e3d0e059897c2e38618c509539754d5

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T08:46:48.220801Z digest=sha256:9eced80b8f9d78acc4590e5c76239bb895f3363b485c8d99e4f19af8f3d57c2b

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

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-03T21:17:46.551850Z digest=sha256:9b1716849d0cd3fe22a8bcd611f8a91e3870e86eaf0ea3e4c0be08cdc1703c07

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:51:25.883463Z digest=sha256:0258f912c8ad08378e0ff09e2e6539ea1192da35dc14f448de734d09858fc2d7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:14:22.844588Z digest=sha256:d747feeab7fd0fc87ec541fb0ff8ee16b6fa3cb080609e7d6284d385c9913508