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Paper Citation Record · LEDGER

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2504.21685.

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

pith.paper-citation-record.v1
2504.21685 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:59:51.133159Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

17 of 17 outbound references displayed

  • verified exact4
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84f9aa02-917f-493b-9e87-7206a5ee0786 · outbound

This paper cites Improving health mention classification through emphasising literal mean- ings: A study towards diversity and generalisation for public health surveillance.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Improving health mention classification through emphasising literal mean- ings: A study towards diversity and generalisation for public health surveillance

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.515279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.053429Z digest=sha256:bea0ff51539b8ccbccad923f1a87a14864015eea17b3a1b3be4dd651b3b183b6

Observation beab23ba-3c0c-4524-9d7e-3e0866cf0a07 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.095493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:51.095493Z digest=sha256:4e2a47fc4380714fabab72bfd8d825f4309e12625aef928f87ba388ea0a6d6e2

Observation 4189a846-6400-459f-9899-56e57f8a9f42 · outbound

This paper cites Parameter-Efficient Fine-Tuning without Introducing New Latency.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Parameter-Efficient Fine-Tuning without Introducing New Latency

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.100070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:51.100070Z digest=sha256:983d59dcd01070e634246cf0f0d3be5a6b41ccb57796989d00c21808d9ec4b84

Observation 8a280f3e-655b-4c6c-ab18-6d21b0685c09 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.104578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:51.104578Z digest=sha256:df134babf43bc072c9d7170070f7970c371f3a97112b760b296970fa6dccf0fc

Observation 4656e8e9-cec4-48a1-a9b1-288702fcfcba · outbound

This paper cites Sensitivity of adversarial perturbation in fast gradient sign method.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Sensitivity of adversarial perturbation in fast gradient sign method

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.469733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.109383Z digest=sha256:1774cc990d0b92204a6944c5140d06bebadf81b361234f2807f1f63575b13057

Observation 72007a3c-6fa3-4d5c-bb42-aa1e491c76f2 · outbound

This paper cites Identification of disease or symp- tom terms in reddit to improve health mention clas- sification.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Identification of disease or symp- tom terms in reddit to improve health mention clas- sification

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.455079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.115410Z digest=sha256:3aa47d5518594d92dcefa0ca615c197d275fb840d5ec6fee0db99f212c9e7509

Observation b2641af7-cda8-4195-941b-975ad8bd7f18 · outbound

This paper cites Tracking health re- lated discussions on reddit for public health appli- cations.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Tracking health re- lated discussions on reddit for public health appli- cations

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.437831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.119807Z digest=sha256:02b06e827c733c9bb12846a11b7f44b62b9d512da41e5a19d0e81d5028f2e6da

Observation 6bb817f4-26d4-4d6b-bd65-02d27d738a98 · outbound

This paper cites Exploring Domain Shift in Extractive Text Summarization.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Exploring Domain Shift in Extractive Text Summarization

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:59:51.196824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.128526Z digest=sha256:e18bc15c5e5f8f174da5e341e378cd3ffa6aa370a1368bd69b200e93f9c4a7f3

Observation 020cf46b-d2ce-432b-b5ee-ed7ccbed95b9 · outbound

This paper cites Multi-layer Representation Fusion for Neural Machine Translation.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Multi-layer Representation Fusion for Neural Machine Translation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:59:51.174599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.133159Z digest=sha256:189f859e001b999401fb82c3542d0c10da51a66f01f8d5acf5719fdcf1fc87d7

Observation 9c866bbc-7c49-4408-bb31-8615a8607464 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.090961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ace488f-e286-4739-8acf-5db06c83aab7 · outbound

This paper cites Did you re- ally just have a heart attack? towards robust de- tection of personal health mentions in social media.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Did you re- ally just have a heart attack? towards robust de- tection of personal health mentions in social media

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.080143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:51.080143Z digest=sha256:8af06dd9bbaff8b08f2e0e32d9183fb45620c9b2f5b54edfece0b412584c57eb

Observation 7822458d-cdf1-4121-878f-f3bb9a160012 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T04:59:51.068835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:59:51.068835Z digest=sha256:b1fc6b7371bb8fd537398c0b44dcc43d7c214c8d3214b9e105382216dcdac89f

Observation 79b2a619-11e2-45ec-8e32-5451c8134113 · outbound

This paper cites Rethinking Why Intermediate-Task Fine-Tuning Works.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Rethinking Why Intermediate-Task Fine-Tuning Works

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:59:51.405999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.063166Z digest=sha256:e2995901d525ae783d998f13b1f81b10945552ae778204078ac1ed3eb0bd4a1a

Observation db9f5cd2-9cd7-47aa-b1f5-1040dca04640 · outbound

This paper cites Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection

Reference 2021

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:59:51.369789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.073737Z digest=sha256:7a748ddac0b8237ef48c21d06354c15f9e46e7d90d6622fc517aab81a566bfab

Observation daae993f-d017-43e5-955c-abd30403db55 · outbound

This paper cites Practical transformer-based multilingual text classification.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Practical transformer-based multilingual text classification

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.422152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1d3ce05a-c998-4d17-b6c0-7bbc0344d99b · outbound

This paper cites Leveraging sentiment distri- butions to distinguish figurative from literal health reports on twitter.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Leveraging sentiment distri- butions to distinguish figurative from literal health reports on twitter

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.499932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T04:59:51.058712Z digest=sha256:a8ead4379c14a1b0ea6d676022186afe53d4ff81b4ca467d713720ffb3be0122

Observation a308be57-b608-40a4-8a3e-869891409371 · outbound

This paper cites Sep- arating fact from fear: Tracking flu infections on twitter.

Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning Sep- arating fact from fear: Tracking flu infections on twitter

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:59:51.484658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.