Paper Citation Record · LEDGER

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography

As of 14 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2412.19652.

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

pith.paper-citation-record.v1
2412.19652 v5

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:12:50.810412Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:56.099001Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T14:29:56.419144Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy45
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 378e8372-4b8c-40dd-aba2-2560662f5cf4 · outbound

This paper cites Tor: The secondgeneration onion router,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Tor: The secondgeneration onion router,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.394008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 771b3c3c-4ea2-412d-8d2d-c514cae0230c · outbound

This paper cites Provably secure robust image steganography,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Provably secure robust image steganography,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.381780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd21bb9f-3543-4709-bfdb-4a1f5e1452c9 · outbound

This paper cites Audio steganography using bit modification,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Audio steganography using bit modification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.275087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8309cfd7-b00c-4ba3-a237-e0e4401ffdd6 · outbound

This paper cites Provably secure generative linguistic steganography,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Provably secure generative linguistic steganography,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.267404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a08e697-760c-4264-a094-60e99e85cd4c · outbound

This paper cites Meteor: Cryptographically secure steganography for realistic distributions,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Meteor: Cryptographically secure steganography for realistic distributions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.256503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12ee7b39-7fd1-47be-b11e-ac5875de79c2 · outbound

This paper cites Discop: Provably secure steganography in practice based on “distribution copies.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Discop: Provably secure steganography in practice based on “distribution copies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.246535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c328d14c-c0c8-4ec0-892a-37295e89dcf4 · outbound

This paper cites A linguistic steganography based on word indexing compression and candidate selection,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography A linguistic steganography based on word indexing compression and candidate selection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.237398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de060dcb-7435-4973-8cb6-ae2baccbaeb7 · outbound

This paper cites Neural linguistic steganography,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Neural linguistic steganography,

Reference 8

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Source-reported events for the cited work

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Observation a59b54ab-10f4-4916-8e0d-789dbfe24431 · outbound

This paper cites Linguistic steganalysis toward social network,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Linguistic steganalysis toward social network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.224423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2442d2d-0dd8-41ec-93be-e744d046db22 · outbound

This paper cites Linguistic steganalysis in few- shot scenario,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Linguistic steganalysis in few- shot scenario,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.216271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64eb5c81-3aeb-4628-b7d3-84832df06bc0 · outbound

This paper cites Adaptive domain-invariant feature extraction for cross-domain linguistic steganalysis,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Adaptive domain-invariant feature extraction for cross-domain linguistic steganalysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.208021Z

Source-reported events for the cited work

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Observation f9cc685f-1003-48b3-ae09-8e25bda180e8 · outbound

This paper cites Qwen Technical Report.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Qwen Technical Report

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.679438Z

Source-reported events for the cited work

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Observation ba644531-e299-4c58-bfce-cde259a1a996 · outbound

This paper cites Mistral 7B.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Mistral 7B

Reference 13

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Source-reported events for the cited work

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Observation 9d9113f8-50f7-4897-87f6-3ef71bceadcd · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.685561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f843f7-62ca-454d-b889-6be64d7f6fa4 · outbound

This paper cites The Llama 3 Herd of Models.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.688809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b682a3e-9a8d-4fca-9d44-80fc6b50f2b1 · outbound

This paper cites Learning word vectors for sentiment analysis,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Learning word vectors for sentiment analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.198513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56d4418b-1419-4d2c-8bdb-b5383b08ce2f · outbound

This paper cites Ts-csw: Text steganalysis and hidden capacity estimation based on convolutional sliding windows,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Ts-csw: Text steganalysis and hidden capacity estimation based on convolutional sliding windows,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.187031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fc3519a-e53d-4ff0-8bed-d97107d420a5 · outbound

This paper cites Ts-rnn: text steganalysis based on recurrent neural networks,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Ts-rnn: text steganalysis based on recurrent neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.178699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d6311d1-4e5f-4c43-b8ea-9599d9e89576 · outbound

This paper cites Shakespere dataset.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Shakespere dataset

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.163393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20c75ea4-59a7-433c-afd4-4e8c4902b993 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.705644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe342a52-95ee-4b4b-addc-ad6131bea218 · outbound

This paper cites Co-stega: Collaborative linguistic steganography for the low capacity challenge in social media,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Co-stega: Collaborative linguistic steganography for the low capacity challenge in social media,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.155597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04ea37e4-0a98-4d59-a1da-4c8a2c157eed · outbound

This paper cites Fremax: A simple method towards truly secure generative linguistic steganography,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Fremax: A simple method towards truly secure generative linguistic steganography,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.147458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66c87498-4887-4994-8a92-5f88d8c8e651 · outbound

This paper cites Near-imperceptible neural linguistic steganography via self-adjusting arithmetic coding,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Near-imperceptible neural linguistic steganography via self-adjusting arithmetic coding,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.713049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8074ea56-2eeb-4183-902f-c694323a3687 · outbound

This paper cites an unresolved cited work.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:12:51.135159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ec88815-3994-41fe-98d2-392df989b935 · outbound

This paper cites Generating steganographic text with LSTMs,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Generating steganographic text with LSTMs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.125971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a421cd05-ee9f-48cb-81b8-3ed264df4ba1 · outbound

This paper cites Rnn-stega: Linguistic steganography based on recurrent neural networks,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Rnn-stega: Linguistic steganography based on recurrent neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.116721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e2cc99c-e789-4843-88b4-a21896acff6e · outbound

This paper cites Towards near-imperceptible steganographic text,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Towards near-imperceptible steganographic text,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.106593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f324ce3a-ec02-43ee-a940-b67d36868bb5 · outbound

This paper cites An effective linguistic steganal- ysis framework based on hierarchical mutual learning,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography An effective linguistic steganal- ysis framework based on hierarchical mutual learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.097832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation effcd8aa-c4c6-461c-8a0f-5e1fd521f25e · outbound

This paper cites Evaluating distributional distortion in neural language modeling,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Evaluating distributional distortion in neural language modeling,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.090386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea259cba-739f-4553-840d-98e040f1a77b · outbound

This paper cites Tailoring language generation models under total variation distance,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Tailoring language generation models under total variation distance,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.083021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1380384-0b8b-4024-a001-3dc19b8e3edb · outbound

This paper cites Mixce: Training autoregressive language models by mixing forward and reverse cross- entropies,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Mixce: Training autoregressive language models by mixing forward and reverse cross- entropies,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.074886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation affc2345-22f5-4651-b1d2-31b0d323e483 · outbound

This paper cites Predict the next word: <humans exhibit uncertainty in this task and language models >,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Predict the next word: <humans exhibit uncertainty in this task and language models >,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.066942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2988f689-3047-4efe-9554-5172f39c183d · outbound

This paper cites Manning and H.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Manning and H

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.055552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c30e4f88-1f31-427b-b18b-25aa9ecd450d · outbound

This paper cites Mention flags (MF): Constraining transformer-based text generators,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Mention flags (MF): Constraining transformer-based text generators,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.048259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1bb6b56-5309-4d54-89a2-b1b2f9cc4451 · outbound

This paper cites Director: Generator-classifiers for supervised language modeling,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Director: Generator-classifiers for supervised language modeling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.040836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9495439d-7554-4f56-9fd4-86b780dab44d · outbound

This paper cites Discup: Discriminator cooperative unlikelihood prompt- tuning for controllable text generation,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Discup: Discriminator cooperative unlikelihood prompt- tuning for controllable text generation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.031686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24cb8562-b7e1-4380-8294-d19d9619d61a · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for gen- eration,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Prefix-tuning: Optimizing continuous prompts for gen- eration,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.022398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fabb3f82-3dc8-42bd-a735-51184bf81a5b · outbound

This paper cites Autoprompt: Eliciting knowledge from language models with automatically generated prompts,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Autoprompt: Eliciting knowledge from language models with automatically generated prompts,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.014037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d1189c1-31bf-4cd2-9eb7-c9ab5fd92c01 · outbound

This paper cites Controlled text generation with natural language instructions,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Controlled text generation with natural language instructions,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.001323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e098557-280b-40e9-a011-477fcd0e17fe · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography LoRA: Low-rank adaptation of large language models,

Reference 41

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Source-reported events for the cited work

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Observation 5fba19dd-78f9-414f-957b-18df955b18e2 · outbound

This paper cites Training language models to follow instructions with human feed- back,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Training language models to follow instructions with human feed- back,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.988657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a19cb9bb-86b5-41aa-973d-eda4d80e8b10 · outbound

This paper cites Learning how to ask: Querying lms with mixtures of soft prompts,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Learning how to ask: Querying lms with mixtures of soft prompts,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.980306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d31ef8aa-1658-4172-a434-6083e6c092d5 · outbound

This paper cites Rewards-in- context: Multi-objective alignment of foundation models with dynamic preference adjustment,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Rewards-in- context: Multi-objective alignment of foundation models with dynamic preference adjustment,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.972776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 51fb0794-6ce8-4406-a1e2-2e6b8b0ea7f5 · outbound

This paper cites Panacea: Pareto alignment via preference adaptation for llms,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Panacea: Pareto alignment via preference adaptation for llms,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.964786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9612067d-4568-42c8-b1e5-3a69905f3a77 · outbound

This paper cites Plug and play language models: A simple approach to controlled text generation,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Plug and play language models: A simple approach to controlled text generation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.957726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6de657b-8fc5-4463-b921-3a93a7c0fcce · outbound

This paper cites Gedi: Generative discriminator guided sequence generation,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Gedi: Generative discriminator guided sequence generation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.950418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 008554c2-72b1-4efe-b6b0-4a2a3603a406 · outbound

This paper cites FUDGE: controlled text generation with future discrimi- nators,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography FUDGE: controlled text generation with future discrimi- nators,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.942052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37458b15-3a96-4be8-8835-7ba6d6dd0390 · outbound

This paper cites Minimizing distortion in steganography via adaptive language model tuning,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Minimizing distortion in steganography via adaptive language model tuning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.933515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9524f0e-623d-4c8c-be08-20df4d726044 · outbound

This paper cites A mathematical theory of communication,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography A mathematical theory of communication,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.785819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e98fb5-748c-4731-93d0-9e5f3e68ca09 · outbound

This paper cites COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.788529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33e8246-b5bb-4e4e-91c4-c454ac48efc5 · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Glm: General language model pretraining with autoregressive blank infilling,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T00:12:50.792614Z

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Unavailable: canonical work link unavailable.

Observation ad3ed891-52ca-427a-92cd-922cd3dcda48 · outbound

This paper cites Mauve: Measuring the gap between neural text and human text using divergence frontiers,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Mauve: Measuring the gap between neural text and human text using divergence frontiers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.915700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4343fce7-6f5a-4540-a778-92b09c9cbc0e · outbound

This paper cites A hybrid r-bilstm-c neural network based text steganalysis,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography A hybrid r-bilstm-c neural network based text steganalysis,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:51.171259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5be5982f-1c82-450b-8324-a65ee9c157d2 · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.906893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12b20d96-e1b7-46f5-9b5b-bb90e9939606 · outbound

This paper cites Fast-detectgpt: Efficient zero- shot detection of machine-generated text via conditional probability curvature,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Fast-detectgpt: Efficient zero- shot detection of machine-generated text via conditional probability curvature,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.897088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 333418b2-8a60-4d04-84be-00178fb3f8e9 · outbound

This paper cites Zero-shot generative linguistic steganog- raphy,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Zero-shot generative linguistic steganog- raphy,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.887465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0dd2b57-7fd7-46ec-941c-26abf4ed8f06 · outbound

This paper cites Random search for hyper-parameter optimization,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Random search for hyper-parameter optimization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:12:50.879160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f04ff21-169b-458b-af32-62e240243688 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms,.

A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography Practical bayesian optimization of machine learning algorithms,

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T00:12:50.871190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 08f5398c-dc71-49a6-af35-8e92f0587e77 · inbound

Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes cites this paper.

Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:29:56.425608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.