Pith. sign in

Paper Citation Record · LEDGER

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning

As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2411.17304.

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

pith.paper-citation-record.v1
2411.17304 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:20:19.740130Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4454b20b-7294-41bb-939c-b2819518b23e · outbound

This paper cites CogBench: a large language model walks into a psychology lab.

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning CogBench: a large language model walks into a psychology lab

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T12:20:19.720855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:20:19.720855Z digest=sha256:0278f659895e68469e1b9ab06e4f6f1068fd9aaf22795e916edb4a7f8bd39478

Observation a01a9fb6-3818-4d84-9372-4e7f212b13ab · outbound

This paper cites Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs.

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs

Reference 293

Resolution
unresolved
no resolver link, observed 2026-08-12T12:20:19.740130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:20:19.740130Z digest=sha256:42a3c925dd6ca79cfb347bc038fd5f1daec173e74818b92602bb161dc6724dc4

Observation 34699412-6b1f-4235-8acb-fa6a879a15f9 · outbound

This paper cites an unresolved cited work.

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning Unresolved cited work

Reference 650

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:20:19.821192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T12:20:19.725909Z digest=sha256:632f489a3adc3ff4ab8d83e77955295016b81fa2ee022acfdbf5b0732af6e19c

Observation e3b09397-ecbd-4035-8508-7b88e88aafaa · outbound

This paper cites Word Importance Explains How Prompts Affect Language Model Outputs.

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning Word Importance Explains How Prompts Affect Language Model Outputs

Reference 684

Resolution
unresolved
no resolver link, observed 2026-08-12T12:20:19.729839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:20:19.729839Z digest=sha256:f60400c81a3ecd3e688d313173c9c1c4bc037bebabc685f905f2a9b2cfac7c01

Observation 54439536-f5d9-443f-a242-470717089ea6 · outbound

This paper cites StereoSet: Measuring stereotypical bias in pretrained language models.

Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning StereoSet: Measuring stereotypical bias in pretrained language models

Reference 1726

Resolution
unresolved
no resolver link, observed 2026-08-12T12:20:19.733967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:20:19.733967Z digest=sha256:1a31f5877cb9ddf0738042e7064f0481a7dd9ebf4899d15053554c085746aa86

Pith citing papers

No inbound Pith citation observations are available.