Pith Number

pith:ML3T7W4U

pith:2025:ML3T7W4UUB34366N7XPYGUZXFI

not attested not anchored not stored refs resolved

First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals

Amin Boumerdassi, Avi Vajpeyi, Matthew C. Edwards, Ollie Burke

Moderate glitch streams cause only minor biases in LISA extreme mass ratio inspiral parameter estimates.

arxiv:2512.16322 v2 · 2025-12-18 · gr-qc

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ML3T7W4UUB34366N7XPYGUZXFI}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

These results demonstrate that, when compared to inference of other sources such as massive black hole binaries, EMRI inference is notably more robust to glitches.

C2weakest assumption

The shapelet-based glitches drawn from the LISA Pathfinder catalog accurately represent the statistical properties and occurrence rates of glitches that will actually appear in LISA flight data.

C3one line summary

Moderately mitigated glitch streams induce negligible to minor biases (0.04–0.6σ) in EMRI parameters while weakly mitigated streams with higher-SNR events can reach ~1σ biases, making EMRI inference more robust than for MBHBs.

References

87 extracted · 87 resolved · 6 Pith anchors

[1] (29c) For our analysis, we disregard the T channel due to its insensitivity to EMRIs (though not to glitches) and assume identical, uncorrelated noise PSDsSA n = SE n. TDI propagation is implemented w

[2] Danzmann, Advances in Space Research 25, 1129 (2000), fundamental Physics in Space 2000

[3] J. R. Gair, S. Babak, A. Sesana, P. Amaro-Seoane, E. Barausse,et al., Journal of Physics: Conference Se- ries 840, 012021 (2017) 2017

[5] S. Babak, J. G. Baker, M. J. Benacquista, N. J. Cornish, S. L. Larson,et al., Classical and Quantum Gravity27, 084009 (2010) 2010

[6] Science with the space-based interferometer LISA. V: Extreme mass-ratio inspirals 2017 · arXiv:1703.09722

Formal links

1 machine-checked theorem link

Cited by

1 paper in Pith

Parameter-estimation bias induced by transient orbital resonances in extreme-mass-ratio inspirals

Receipt and verification

First computed	2026-05-21T01:05:13.830439Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

62f73fdb94a077cdfbcdfddf8353372a10def2c37e37dfb4e6f12f0844d1c63d

Aliases

arxiv: 2512.16322 · arxiv_version: 2512.16322v2 · doi: 10.48550/arxiv.2512.16322 · pith_short_12: ML3T7W4UUB34 · pith_short_16: ML3T7W4UUB34366N · pith_short_8: ML3T7W4U

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ML3T7W4UUB34366N7XPYGUZXFI \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 62f73fdb94a077cdfbcdfddf8353372a10def2c37e37dfb4e6f12f0844d1c63d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c3e5b6f982791ffdfd28781539018e5ef7f4f0a41c818f165d401787ae9b410b",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "gr-qc",
    "submitted_at": "2025-12-18T09:03:38Z",
    "title_canon_sha256": "3c1d9d36e834c8f26a2d4788d4ce864fd2c8a35609b8fd1e59b887d30875092d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.16322",
    "kind": "arxiv",
    "version": 2
  }
}